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AI For Good Lab

Publications

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- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF Project
- Mapping global floods with 10 years of satellite radar data
  
  Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka III, Juan M. Lavista Ferres
  
  Nature Communications | July 2025
  
  Publication PDF
- Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
  
  Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2025
  
  Publication
- Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
  
  Gilles Quentin Hacheme, Stephen Andrew Wood, Renatus Magesa, Girmaw Abebe Tadesse, Caleb Robinson, Elizah Peter, Elkanah Kipkoech, Bernice Sainepo
  
  IOP Science – Environmental Research Letters | June 2025
  
  Publication
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication Project
- COVID-19 Pandemic-Era Changes in Sudden Unexpected Infant Death in the United States
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Pediatrics | May 2025
  
  Publication PDF Project
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication Project
- Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac® using machine learning
  
  Md Nasir, Bill Weeks, Shahrzad Gholami, Anthony Marfin, Mark Alderson, Troy Leader, Brian Taliesin, Rahul Dodhia, Juan M. Lavista Ferres, Niranjan Bhat
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators
  
  Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M. Lavista Ferres, Bistra Dilkina
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF Project
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  May 2025
  
  Publication PDF DOI Project
- AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
  
  Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
  
  JAMA Network Open | April 2025
  
  Publication PDF DOI Project
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication Project
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project Project
- Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
  
  March 2025
  
  Publication Author's Version
- Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  Scientific Reports | February 2025
  
  Publication DOI PDF Project
- Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
  
  Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
  
  Nature Communications | February 2025
  
  Publication PDF Project
- Leveraging public data: Changes in local economic distress and drug overdose deaths at the county level, 2000 – 2019
  
  Shaddy K. Saba, Juan M. Lavista Ferres, Bill Weeks
  
  International Journal of Public Health | February 2025
  
  Publication Project
- AI in the Era of GPT: Transforming the Future of Work and Discovery
  
  Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu, Felipe Lopez-Ramirez, Charles K Crawford, Steven P Rowe
  
  Journal of the American College of Radiology | February 2025
  
  Publication DOI PDF Project
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI Project
- Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Lee, Lowy Medical Research Institute
  
  Ophthalmology Science | January 2025
  
  Publication DOI Project
- Improving Rural Healthcare by Creating Academic- and Nonacademic-Rural Hospital Partnerships Based on Community Health Needs Assessments and Technological Needs
  
  Suhas Babu, James Weinstein, Juan M. Lavista Ferres, Bill Weeks
  
  The Journal of Rural Health | January 2025
  
  Publication DOI Project
- Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
  
  Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project Project
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial
  
  Jonathan B Bricker, Brianna M Sullivan, Kristin E Mull, Juan M. Lavista Ferres, Margarita Santiago-Torres
  
  Contemporary Clinical Trials | December 2024
  
  Publication Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Current engagement with unreliable sites from web search driven by navigational search
  
  Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
  
  Science Advances | November 2024
  
  Publication PDF
- Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
  
  Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
  
  Journal of Community Medicine & Public Health | October 2024
  
  Publication PDF Project
- The New Digital Divide
  
  Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
  
  National Bureau of Economic Research | October 2024
  
  Publication Project
- Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
  
  Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
  
  BMJ Public Health | September 2024
  
  Publication PDF Project
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF Project
- A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services
  
  Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira
  
  International Journal of Public Health | August 2024
  
  Publication Publication Project
- New frontiers in AI for biodiversity research and conservation with multimodal language models
  
  Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2024
  
  Preprint Publication Project
- Maternal Obesity and Risk of Sudden Unexpected Infant Death
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Jama Pediatrics | July 2024
  
  Publication Project
- Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
  
  Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  PNAS | June 2024
  
  Publication DOI Project
- Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing
  
  Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez
  
  American Journal of Medical Genetics | June 2024
  
  Publication PDF DOI Project
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
  
  Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2024
  
  Preprint
- Will AI accelerate or delay the race to net-zero emissions?
  
  Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz
  
  Nature | April 2024
  
  Publication
- AI for Good: Applications in Sustainability, Humanitarian Action, and Health
  
  Juan M. Lavista Ferres, Bill Weeks
  
  Published by Wiley | April 2024
  
  ISBN: 1394235879
  
  Publication
- Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
  
  Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
  
  Frontiers in Environmental Science | April 2024
  
  Publication DOI Project
- Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America
  
  Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres
  
  The Journal of Rural Health | March 2024
  
  Publication DOI Project
- Health and Wealth in America
  
  Bill Weeks, Juan M. Lavista Ferres, James Weinstein
  
  International Journal of Public Health | March 2024
  
  Publication DOI Project
- Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15
  
  Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Scientific Reports | March 2024
  
  Publication PDF Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project Project
- Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
  
  JAMA Ophthalmology | February 2024
  
  Publication Project
- Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
  
  PLOS ONE | February 2024
  
  Publication DOI
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project Project
- Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
  
  Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
  
  Health Affairs Scholar | January 2024, Vol 2(1)
  
  Publication DOI Project
- All Sustainable Development Goals Support Good Health and Well-Being
  
  Bill Weeks, James Weinstein, Juan M. Lavista Ferres
  
  International Journal of Public Health | December 2023, Vol 68
  
  Publication DOI Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project Project
- Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
  
  Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  December 2023
  
  Preprint Github Project
- Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
  
  Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
  
  Publication Project
- Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
  
  S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
  
  2023 IEEE Nuclear Science Symposium | December 2023
  
  Publication DOI Project
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI Project
- Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS 2023 | November 2023
  
  Publication PDF Project Project
- Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
  
  Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
  
  November 2023
  
  DOI Publication Github
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project Project
- Using Artificial Intelligence to Advance Public Health
  
  Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
  
  International Journal of Public Health (IJPH) | November 2023
  
  Publication DOI Project
- Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
  
  November 2023
  
  Preprint Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
  
  IEEE Transactions on Dependable and Secure Computing | October 2023
  
  Publication Publication
- Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
  
  Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
  
  PLOS Global Public Health | October 2023
  
  Publication DOI Project Project
- An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
  
  Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein
  
  International Journal for Equity in Health | September 2023
  
  Publication PDF Project Project
- Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015
  
  Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell
  
  PLOS ONE | August 2023
  
  Publication DOI Project
- PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
  
  Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  American Association of Physicists in Medicine | August 2023
  
  Publication DOI Project
- Zero-Shot Transfer for Wildlife Bioacoustics Detection
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2023
  
  Preprint DOI Project Project
- Harnessing AI and robotics in humanitarian assistance and disaster response
  
  Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
  
  Science Robotics | July 2023
  
  Publication DOI Project
- Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
  
  Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks
  
  Archives of Public Health | July 2023
  
  Publication PDF
- Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
  
  Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
  
  ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
  
  Publication PDF Project
- Poverty rate prediction using multi-modal survey and earth observation data
  
  Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  COMPASS ’23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
  
  Publication PDF Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project Project
- Using Website Referrals to Identify Misinformation Rabbit Holes
  
  Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
  
  June 2023
  
  Publication
- Open Data on GitHub: Unlocking the Potential of AI
  
  Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  June 2023
  
  Publication
- AI methods and their application to health and prevention using open data
  
  Juan M. Lavista Ferres
  
  May 2023
  
  PhD Thesis: Vrije Universiteit Amsterdam | May 2023
  
  Publication DOI
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project Project
- Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations
  
  Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges
  
  Journal of Health Care for the Poor and Underserved | May 2023
  
  Publication Project Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project Project
- Watching Innovation in Real Time: The Story of ChatGPT and Radiology
  
  Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
  
  Canadian Association of Radiologists Journal | May 2023
  
  Publication Project
- How effective is multifactor authentication at deterring cyberattacks?
  
  Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
  
  May 2023
  
  Publication PDF
- Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015
  
  Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell
  
  PLoS ONE | April 2023
  
  Publication DOI Project
- Uruguay: Talent Report on the IT Sector
  
  Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle
  
  April 2023
  
  PDF PDF
- Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
  
  Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
  
  Scientific Reports | April 2023
  
  Publication Project
- Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
  
  Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
  
  Computers in Biology and Medicine | April 2023
  
  Publication DOI Project Project
- A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
  
  Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
  
  Medical Imaging 2023 | April 2023
  
  Publication Project
- Nature dependent tourism – Combining big data and local knowledge
  
  Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
  
  Journal of Environmental Management | April 2023
  
  Publication DOI PDF Project
- AI as a Public Service
  
  Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo
  
  Journal of the American College of Radiology | March 2023
  
  Publication Project
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project Project
- Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)
  
  Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman
  
  Diagnostic and Interventional Imaging | March 2023
  
  Publication DOI Project
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI Project
- Turkey Earthquake Report
  
  Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
  
  MSR-TR-2023-7 | February 2023
  
  Published by Microsoft
  
  Publication Project Project
- Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
  
  Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
  
  BMC Public Health | December 2022
  
  Publication PDF Project Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project Project
- Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms
  
  Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror
  
  Blood | November 2022
  
  Publication Project
- Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study
  
  Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
  
  Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project Project
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF Project Project
- MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
  
  Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
  
  Transactions on Machine Learning Research (TMLR) | October 2022
  
  Publication Project Project
- Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi
  
  Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres
  
  Data & Policy | October 2022, Vol 4
  
  Publication Project
- Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
  
  Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
  
  Scientific Reports | October 2022
  
  Publication PDF Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project Project
- BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin
  
  Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie
  
  Genome Biology | August 2022
  
  Publication PDF Github Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project Project
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
  
  Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
  
  ScienceDirect | June 2022
  
  Publication Project
- T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
  
  Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
  
  JCI Insight | April 2022, Vol 7(10)
  
  DOI Preprint Publication Project Project Project
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF Project
- Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
  
  EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
  
  PNAS | April 2022
  
  Publication PDF Project Project
- Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
  
  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF Project Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project Project
- Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis
  
  Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee
  
  JAMA Ophthalmology | January 2022
  
  Publication Project Project
- Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
  
  Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
  
  Science Direct | January 2022
  
  Publication PDF Project Project
- Height Estimation of Children under Five Years using Depth Images
  
  Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Eng Med Biol Soc | November 2021
  
  Publication Project Project
- Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
  
  Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
  
  Animal Behaviour | October 2021
  
  Publication Project Project
- A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images
  
  Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
  
  ACM GoodIT ’21: Proceedings of the Conference on Information Technology for Social Good | September 2021
  
  Publication
- Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
  
  Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
  
  Ecological Informatics | September 2021, Vol 64
  
  Publication Project Project Project
- Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
  
  Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
  
  Scientific Reports | August 2021
  
  Publication PDF Project Project Project
- Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
  
  Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
  
  July 2021
  
  Accepted in KDD
  
  Publication Project
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project Project
- An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2021
  
  Preprint
- Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians
  
  Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks
  
  Journal of the American Geriatrics Society | June 2021
  
  Publication Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project Project
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study
  
  Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis
  
  Journal of Medical Internet Research | May 2021
  
  Publication PDF Project
- Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
  
  Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
  
  The Journal of the Acoustical Society of America | May 2021
  
  Publication Github Project Project Project
- Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
  
  Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES’21) | April 2021
  
  Publication
- U.S. Broadband Coverage Data Set: A Differentially Private Data Release
  
  Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
  
  March 2021
  
  Publication Publication PDF Project Project Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project Project
- Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States
  
  Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell
  
  MCN American Journal of Maternal Child Nursing (In Advance) | February 2021
  
  Publication PDF Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project Project
- Survey Data and Human Computation for Improved Flu Tracking
  
  Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer
  
  Nature Communications | January 2021
  
  Publication PDF
- Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome
  
  Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman
  
  Pacific Symposium on Biocomputing | January 2021
  
  Publication Project Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project Project
- A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
  
  Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
  
  Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
  
  Publication PDF Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project Project
- Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut
  
  Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres
  
  IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020
  
  Publication Project
- AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
  
  Benjamin Kellenberger, Devis Tuia, Dan Morris
  
  Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
  
  Publication Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project Project
- How to Handle Armed Conflict Data in a Real-World Scenario?
  
  Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
  
  Philosophy & Technology | September 2020
  
  Publication Project
- A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
  
  Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
  
  Science Direct | September 2020
  
  Publication Project Project Project
- Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
  
  Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
  
  Applied Acoustics | September 2020, Vol 166
  
  Publication Project Project Project
- On Dynamic Network Models and Application to Causal Impact
  
  Yu-chia Chen , Avleen S. Bijral, Juan M. Lavista Ferres
  
  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | July 2020
  
  DOI Publication
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project Project
- P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
  
  Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
  
  May 2020
  
  DOI Preprint Project Project
- privGAN: Protecting GANs from membership inference attacks at low cost
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  May 2020
  
  Under major revision at PETS
  
  Publication
- Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
  
  Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
  
  April 2020
  
  Publication Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project Project
- Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
  
  Publication Project Project Project
- Geographic Variation in Sudden Unexpected Infant Death in the United States
  
  Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston
  
  The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55
  
  Publication DOI Project
- Web browser incorporating social and community features
  
  Juan M. Lavista Ferres, John B. Kahan
  
  January 2020
  
  PDF
- Distinct populations of sudden unexpected infant death based on age
  
  Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell
  
  Pediatrics | January 2020, Vol 145(1)
  
  PDF DOI Video Project
- Protecting GANs against privacy attacks by preventing overfitting
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  December 2019
  
  Publication PDF
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF Project
- Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
  
  Publication Project Project Project
- Towards Ethical Deployment of AI for Conservation Systems
  
  Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
  
  August 2019
  
  Publication Project
- Efficient Pipeline for Camera Trap Image Review
  
  Sara Beery, Dan Morris, Siyu Yang
  
  July 2019
  
  Publication Project Project
- Efficient Pipeline for Automating Species ID in new Camera Trap Projects
  
  Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
  
  Biodiversity Information Science and Standards | June 2019
  
  DOI PDF Project Project
- Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
  
  Mayana Pereira, Alok Kumar, Scott Cristiansen
  
  2019 IEEE International Conference on Smart Computing | May 2019
  
  DOI Publication
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project Project
- Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death
  
  Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell
  
  Pediatrics | April 2019, Vol 143(4)
  
  Publication PDF Project
- Nonstop: A nonstationary online prediction method for time series
  
  Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres
  
  IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549
  
  Publication DOI
- The moral risk in Machine Learning
  
  Juan M. Lavista Ferres
  
  Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
  
  DOI Publication PDF

- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF Project
- Mapping global floods with 10 years of satellite radar data
  
  Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka III, Juan M. Lavista Ferres
  
  Nature Communications | July 2025
  
  Publication PDF
- Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
  
  Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2025
  
  Publication
- Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
  
  Gilles Quentin Hacheme, Stephen Andrew Wood, Renatus Magesa, Girmaw Abebe Tadesse, Caleb Robinson, Elizah Peter, Elkanah Kipkoech, Bernice Sainepo
  
  IOP Science – Environmental Research Letters | June 2025
  
  Publication
- COVID-19 Pandemic-Era Changes in Sudden Unexpected Infant Death in the United States
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Pediatrics | May 2025
  
  Publication PDF Project
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication Project
- Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac® using machine learning
  
  Md Nasir, Bill Weeks, Shahrzad Gholami, Anthony Marfin, Mark Alderson, Troy Leader, Brian Taliesin, Rahul Dodhia, Juan M. Lavista Ferres, Niranjan Bhat
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators
  
  Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M. Lavista Ferres, Bistra Dilkina
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF Project
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  May 2025
  
  Publication PDF DOI Project
- AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
  
  Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
  
  JAMA Network Open | April 2025
  
  Publication PDF DOI Project
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication Project
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project Project
- Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
  
  March 2025
  
  Publication Author's Version
- Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  Scientific Reports | February 2025
  
  Publication DOI PDF Project
- Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
  
  Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
  
  Nature Communications | February 2025
  
  Publication PDF Project
- AI in the Era of GPT: Transforming the Future of Work and Discovery
  
  Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu, Felipe Lopez-Ramirez, Charles K Crawford, Steven P Rowe
  
  Journal of the American College of Radiology | February 2025
  
  Publication DOI PDF Project
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI Project
- Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Lee, Lowy Medical Research Institute
  
  Ophthalmology Science | January 2025
  
  Publication DOI Project
- Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
  
  Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication
- Improving Rural Healthcare by Creating Academic- and Nonacademic-Rural Hospital Partnerships Based on Community Health Needs Assessments and Technological Needs
  
  Suhas Babu, James Weinstein, Juan M. Lavista Ferres, Bill Weeks
  
  The Journal of Rural Health | January 2025
  
  Publication DOI Project
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF Project
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial
  
  Jonathan B Bricker, Brianna M Sullivan, Kristin E Mull, Juan M. Lavista Ferres, Margarita Santiago-Torres
  
  Contemporary Clinical Trials | December 2024
  
  Publication Project
- Current engagement with unreliable sites from web search driven by navigational search
  
  Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
  
  Science Advances | November 2024
  
  Publication PDF
- Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
  
  Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
  
  BMJ Public Health | September 2024
  
  Publication PDF Project
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF Project
- A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services
  
  Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira
  
  International Journal of Public Health | August 2024
  
  Publication Publication Project
- New frontiers in AI for biodiversity research and conservation with multimodal language models
  
  Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2024
  
  Preprint Publication Project
- Maternal Obesity and Risk of Sudden Unexpected Infant Death
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Jama Pediatrics | July 2024
  
  Publication Project
- Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
  
  Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  PNAS | June 2024
  
  Publication DOI Project
- Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing
  
  Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez
  
  American Journal of Medical Genetics | June 2024
  
  Publication PDF DOI Project
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
  
  Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2024
  
  Preprint
- Will AI accelerate or delay the race to net-zero emissions?
  
  Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz
  
  Nature | April 2024
  
  Publication
- Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
  
  Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
  
  Frontiers in Environmental Science | April 2024
  
  Publication DOI Project
- AI for Good: Applications in Sustainability, Humanitarian Action, and Health
  
  Juan M. Lavista Ferres, Bill Weeks
  
  Published by Wiley | April 2024
  
  ISBN: 1394235879
  
  Publication
- Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America
  
  Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres
  
  The Journal of Rural Health | March 2024
  
  Publication DOI Project
- Health and Wealth in America
  
  Bill Weeks, Juan M. Lavista Ferres, James Weinstein
  
  International Journal of Public Health | March 2024
  
  Publication DOI Project
- Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15
  
  Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Scientific Reports | March 2024
  
  Publication PDF Project
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project Project
- Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
  
  JAMA Ophthalmology | February 2024
  
  Publication Project
- Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
  
  PLOS ONE | February 2024
  
  Publication DOI
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project Project
- Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
  
  Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
  
  Health Affairs Scholar | January 2024, Vol 2(1)
  
  Publication DOI Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project Project
- Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
  
  Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
  
  Publication Project
- Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
  
  S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
  
  2023 IEEE Nuclear Science Symposium | December 2023
  
  Publication DOI Project
- Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
  
  Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  December 2023
  
  Preprint Github Project
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI Project
- Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS 2023 | November 2023
  
  Publication PDF Project Project
- Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
  
  Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
  
  November 2023
  
  DOI Publication Github
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project Project
- Using Artificial Intelligence to Advance Public Health
  
  Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
  
  International Journal of Public Health (IJPH) | November 2023
  
  Publication DOI Project
- Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
  
  November 2023
  
  Preprint Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
  
  IEEE Transactions on Dependable and Secure Computing | October 2023
  
  Publication Publication
- Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
  
  Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
  
  PLOS Global Public Health | October 2023
  
  Publication DOI Project Project
- An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
  
  Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein
  
  International Journal for Equity in Health | September 2023
  
  Publication PDF Project Project
- Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015
  
  Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell
  
  PLOS ONE | August 2023
  
  Publication DOI Project
- PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
  
  Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  American Association of Physicists in Medicine | August 2023
  
  Publication DOI Project
- Zero-Shot Transfer for Wildlife Bioacoustics Detection
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2023
  
  Preprint DOI Project Project
- Harnessing AI and robotics in humanitarian assistance and disaster response
  
  Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
  
  Science Robotics | July 2023
  
  Publication DOI Project
- Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
  
  Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks
  
  Archives of Public Health | July 2023
  
  Publication PDF
- Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
  
  Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
  
  ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
  
  Publication PDF Project
- Poverty rate prediction using multi-modal survey and earth observation data
  
  Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  COMPASS ’23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
  
  Publication PDF Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project Project
- Using Website Referrals to Identify Misinformation Rabbit Holes
  
  Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
  
  June 2023
  
  Publication
- Open Data on GitHub: Unlocking the Potential of AI
  
  Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  June 2023
  
  Publication
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project Project
- AI methods and their application to health and prevention using open data
  
  Juan M. Lavista Ferres
  
  May 2023
  
  PhD Thesis: Vrije Universiteit Amsterdam | May 2023
  
  Publication DOI
- Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations
  
  Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges
  
  Journal of Health Care for the Poor and Underserved | May 2023
  
  Publication Project Project
- Watching Innovation in Real Time: The Story of ChatGPT and Radiology
  
  Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
  
  Canadian Association of Radiologists Journal | May 2023
  
  Publication Project
- Uruguay: Talent Report on the IT Sector
  
  Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle
  
  April 2023
  
  PDF PDF
- Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
  
  Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
  
  Scientific Reports | April 2023
  
  Publication Project
- Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
  
  Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
  
  Computers in Biology and Medicine | April 2023
  
  Publication DOI Project Project
- A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
  
  Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
  
  Medical Imaging 2023 | April 2023
  
  Publication Project
- Nature dependent tourism – Combining big data and local knowledge
  
  Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
  
  Journal of Environmental Management | April 2023
  
  Publication DOI PDF Project
- AI as a Public Service
  
  Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo
  
  Journal of the American College of Radiology | March 2023
  
  Publication Project
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project Project
- Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)
  
  Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman
  
  Diagnostic and Interventional Imaging | March 2023
  
  Publication DOI Project
- Turkey Earthquake Report
  
  Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
  
  MSR-TR-2023-7 | February 2023
  
  Published by Microsoft
  
  Publication Project Project
- Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms
  
  Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror
  
  Blood | November 2022
  
  Publication Project
- Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study
  
  Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
  
  Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project Project
- MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
  
  Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
  
  Transactions on Machine Learning Research (TMLR) | October 2022
  
  Publication Project Project
- Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi
  
  Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres
  
  Data & Policy | October 2022, Vol 4
  
  Publication Project
- Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
  
  Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
  
  ScienceDirect | June 2022
  
  Publication Project
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project Project
- Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis
  
  Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee
  
  JAMA Ophthalmology | January 2022
  
  Publication Project Project
- A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images
  
  Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
  
  ACM GoodIT ’21: Proceedings of the Conference on Information Technology for Social Good | September 2021
  
  Publication
- Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
  
  Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
  
  Ecological Informatics | September 2021, Vol 64
  
  Publication Project Project Project
- Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
  
  Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
  
  Scientific Reports | August 2021
  
  Publication PDF Project Project Project
- An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2021
  
  Preprint
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
  
  Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
  
  Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
  
  The Journal of the Acoustical Society of America | May 2021
  
  Publication Github Project Project Project
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES’21) | April 2021
  
  Publication
- U.S. Broadband Coverage Data Set: A Differentially Private Data Release
  
  Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
  
  March 2021
  
  Publication Publication PDF Project Project Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project Project
- Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States
  
  Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell
  
  MCN American Journal of Maternal Child Nursing (In Advance) | February 2021
  
  Publication PDF Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project Project
- Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome
  
  Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman
  
  Pacific Symposium on Biocomputing | January 2021
  
  Publication Project Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project Project
- A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
  
  Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
  
  Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
  
  Publication PDF Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project Project
- Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut
  
  Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres
  
  IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020
  
  Publication Project
- AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
  
  Benjamin Kellenberger, Devis Tuia, Dan Morris
  
  Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
  
  Publication Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project Project
- How to Handle Armed Conflict Data in a Real-World Scenario?
  
  Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
  
  Philosophy & Technology | September 2020
  
  Publication Project
- Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
  
  Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
  
  Applied Acoustics | September 2020, Vol 166
  
  Publication Project Project Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project Project
- privGAN: Protecting GANs from membership inference attacks at low cost
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  May 2020
  
  Under major revision at PETS
  
  Publication
- Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
  
  Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
  
  April 2020
  
  Publication Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project Project
- Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
  
  Publication Project Project Project
- Protecting GANs against privacy attacks by preventing overfitting
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  December 2019
  
  Publication PDF
- Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
  
  Publication Project Project Project
- Towards Ethical Deployment of AI for Conservation Systems
  
  Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
  
  August 2019
  
  Publication Project
- Efficient Pipeline for Camera Trap Image Review
  
  Sara Beery, Dan Morris, Siyu Yang
  
  July 2019
  
  Publication Project Project
- Efficient Pipeline for Automating Species ID in new Camera Trap Projects
  
  Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
  
  Biodiversity Information Science and Standards | June 2019
  
  DOI PDF Project Project
- Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
  
  Mayana Pereira, Alok Kumar, Scott Cristiansen
  
  2019 IEEE International Conference on Smart Computing | May 2019
  
  DOI Publication
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project Project
- The moral risk in Machine Learning
  
  Juan M. Lavista Ferres
  
  Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
  
  DOI Publication PDF
- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF Project
- COVID-19 Pandemic-Era Changes in Sudden Unexpected Infant Death in the United States
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Pediatrics | May 2025
  
  Publication PDF Project
- Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac® using machine learning
  
  Md Nasir, Bill Weeks, Shahrzad Gholami, Anthony Marfin, Mark Alderson, Troy Leader, Brian Taliesin, Rahul Dodhia, Juan M. Lavista Ferres, Niranjan Bhat
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF Project
- Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
  
  Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
  
  Nature Communications | February 2025
  
  Publication PDF Project
- Leveraging public data: Changes in local economic distress and drug overdose deaths at the county level, 2000 – 2019
  
  Shaddy K. Saba, Juan M. Lavista Ferres, Bill Weeks
  
  International Journal of Public Health | February 2025
  
  Publication Project
- AI in the Era of GPT: Transforming the Future of Work and Discovery
  
  Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu, Felipe Lopez-Ramirez, Charles K Crawford, Steven P Rowe
  
  Journal of the American College of Radiology | February 2025
  
  Publication DOI PDF Project
- Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Lee, Lowy Medical Research Institute
  
  Ophthalmology Science | January 2025
  
  Publication DOI Project
- Improving Rural Healthcare by Creating Academic- and Nonacademic-Rural Hospital Partnerships Based on Community Health Needs Assessments and Technological Needs
  
  Suhas Babu, James Weinstein, Juan M. Lavista Ferres, Bill Weeks
  
  The Journal of Rural Health | January 2025
  
  Publication DOI Project
- Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial
  
  Jonathan B Bricker, Brianna M Sullivan, Kristin E Mull, Juan M. Lavista Ferres, Margarita Santiago-Torres
  
  Contemporary Clinical Trials | December 2024
  
  Publication Project
- Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
  
  Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
  
  Journal of Community Medicine & Public Health | October 2024
  
  Publication PDF Project
- Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
  
  Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
  
  BMJ Public Health | September 2024
  
  Publication PDF Project
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF Project
- A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services
  
  Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira
  
  International Journal of Public Health | August 2024
  
  Publication Publication Project
- Maternal Obesity and Risk of Sudden Unexpected Infant Death
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Jama Pediatrics | July 2024
  
  Publication Project
- Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
  
  Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  PNAS | June 2024
  
  Publication DOI Project
- Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing
  
  Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez
  
  American Journal of Medical Genetics | June 2024
  
  Publication PDF DOI Project
- Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America
  
  Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres
  
  The Journal of Rural Health | March 2024
  
  Publication DOI Project
- Health and Wealth in America
  
  Bill Weeks, Juan M. Lavista Ferres, James Weinstein
  
  International Journal of Public Health | March 2024
  
  Publication DOI Project
- Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15
  
  Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Scientific Reports | March 2024
  
  Publication PDF Project
- Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
  
  JAMA Ophthalmology | February 2024
  
  Publication Project
- Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
  
  Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
  
  Health Affairs Scholar | January 2024, Vol 2(1)
  
  Publication DOI Project
- All Sustainable Development Goals Support Good Health and Well-Being
  
  Bill Weeks, James Weinstein, Juan M. Lavista Ferres
  
  International Journal of Public Health | December 2023, Vol 68
  
  Publication DOI Project
- Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
  
  Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
  
  Publication Project
- Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
  
  S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
  
  2023 IEEE Nuclear Science Symposium | December 2023
  
  Publication DOI Project
- Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
  
  Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
  
  November 2023
  
  DOI Publication Github
- Using Artificial Intelligence to Advance Public Health
  
  Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
  
  International Journal of Public Health (IJPH) | November 2023
  
  Publication DOI Project
- Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
  
  Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
  
  PLOS Global Public Health | October 2023
  
  Publication DOI Project Project
- An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
  
  Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein
  
  International Journal for Equity in Health | September 2023
  
  Publication PDF Project Project
- Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015
  
  Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell
  
  PLOS ONE | August 2023
  
  Publication DOI Project
- PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
  
  Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  American Association of Physicists in Medicine | August 2023
  
  Publication DOI Project
- Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
  
  Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks
  
  Archives of Public Health | July 2023
  
  Publication PDF
- Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
  
  Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
  
  ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
  
  Publication PDF Project
- AI methods and their application to health and prevention using open data
  
  Juan M. Lavista Ferres
  
  May 2023
  
  PhD Thesis: Vrije Universiteit Amsterdam | May 2023
  
  Publication DOI
- Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations
  
  Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges
  
  Journal of Health Care for the Poor and Underserved | May 2023
  
  Publication Project Project
- Watching Innovation in Real Time: The Story of ChatGPT and Radiology
  
  Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
  
  Canadian Association of Radiologists Journal | May 2023
  
  Publication Project
- Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015
  
  Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell
  
  PLoS ONE | April 2023
  
  Publication DOI Project
- Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
  
  Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
  
  Scientific Reports | April 2023
  
  Publication Project
- Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
  
  Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
  
  Computers in Biology and Medicine | April 2023
  
  Publication DOI Project Project
- A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
  
  Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
  
  Medical Imaging 2023 | April 2023
  
  Publication Project
- AI as a Public Service
  
  Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo
  
  Journal of the American College of Radiology | March 2023
  
  Publication Project
- Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)
  
  Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman
  
  Diagnostic and Interventional Imaging | March 2023
  
  Publication DOI Project
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI Project
- Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
  
  Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
  
  BMC Public Health | December 2022
  
  Publication PDF Project Project
- Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms
  
  Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror
  
  Blood | November 2022
  
  Publication Project
- Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study
  
  Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
  
  Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF Project Project
- Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
  
  Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
  
  Scientific Reports | October 2022
  
  Publication PDF Project Project
- BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin
  
  Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie
  
  Genome Biology | August 2022
  
  Publication PDF Github Project
- Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
  
  Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
  
  ScienceDirect | June 2022
  
  Publication Project
- T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
  
  Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
  
  JCI Insight | April 2022, Vol 7(10)
  
  DOI Preprint Publication Project Project Project
- Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
  
  EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
  
  PNAS | April 2022
  
  Publication PDF Project Project
- Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
  
  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF Project Project
- Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis
  
  Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee
  
  JAMA Ophthalmology | January 2022
  
  Publication Project Project
- Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
  
  Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
  
  Science Direct | January 2022
  
  Publication PDF Project Project
- Height Estimation of Children under Five Years using Depth Images
  
  Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Eng Med Biol Soc | November 2021
  
  Publication Project Project
- Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
  
  Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
  
  July 2021
  
  Accepted in KDD
  
  Publication Project
- Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians
  
  Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks
  
  Journal of the American Geriatrics Society | June 2021
  
  Publication Project
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
  
  Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study
  
  Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis
  
  Journal of Medical Internet Research | May 2021
  
  Publication PDF Project
- Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States
  
  Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell
  
  MCN American Journal of Maternal Child Nursing (In Advance) | February 2021
  
  Publication PDF Project
- Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome
  
  Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman
  
  Pacific Symposium on Biocomputing | January 2021
  
  Publication Project Project
- Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut
  
  Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres
  
  IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020
  
  Publication Project
- P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
  
  Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
  
  May 2020
  
  DOI Preprint Project Project
- Geographic Variation in Sudden Unexpected Infant Death in the United States
  
  Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston
  
  The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55
  
  Publication DOI Project
- Distinct populations of sudden unexpected infant death based on age
  
  Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell
  
  Pediatrics | January 2020, Vol 145(1)
  
  PDF DOI Video Project
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF Project
- Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death
  
  Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell
  
  Pediatrics | April 2019, Vol 143(4)
  
  Publication PDF Project
- Mapping global floods with 10 years of satellite radar data
  
  Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka III, Juan M. Lavista Ferres
  
  Nature Communications | July 2025
  
  Publication PDF
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication Project
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication Project
- AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
  
  Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
  
  JAMA Network Open | April 2025
  
  Publication PDF DOI Project
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication Project
- Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
  
  March 2025
  
  Publication Author's Version
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI Project
- Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
  
  Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF Project
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
  
  Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2024
  
  Preprint
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project Project
- Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
  
  Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
  
  November 2023
  
  DOI Publication Github
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project Project
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project Project
- A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images
  
  Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
  
  ACM GoodIT ’21: Proceedings of the Conference on Information Technology for Social Good | September 2021
  
  Publication
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project Project
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project Project
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project Project
- privGAN: Protecting GANs from membership inference attacks at low cost
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  May 2020
  
  Under major revision at PETS
  
  Publication
- Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
  
  Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
  
  April 2020
  
  Publication Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project Project
- Efficient Pipeline for Camera Trap Image Review
  
  Sara Beery, Dan Morris, Siyu Yang
  
  July 2019
  
  Publication Project Project
- Mapping global floods with 10 years of satellite radar data
  
  Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka III, Juan M. Lavista Ferres
  
  Nature Communications | July 2025
  
  Publication PDF
- Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
  
  Gilles Quentin Hacheme, Stephen Andrew Wood, Renatus Magesa, Girmaw Abebe Tadesse, Caleb Robinson, Elizah Peter, Elkanah Kipkoech, Bernice Sainepo
  
  IOP Science – Environmental Research Letters | June 2025
  
  Publication
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication Project
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication Project
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project Project
- Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
  
  March 2025
  
  Publication Author's Version
- Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  Scientific Reports | February 2025
  
  Publication DOI PDF Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- New frontiers in AI for biodiversity research and conservation with multimodal language models
  
  Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2024
  
  Preprint Publication Project
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
  
  Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2024
  
  Preprint
- Will AI accelerate or delay the race to net-zero emissions?
  
  Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz
  
  Nature | April 2024
  
  Publication
- Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
  
  Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
  
  Frontiers in Environmental Science | April 2024
  
  Publication DOI Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project Project
- Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS 2023 | November 2023
  
  Publication PDF Project Project
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project Project
- Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
  
  November 2023
  
  Preprint Project
- Zero-Shot Transfer for Wildlife Bioacoustics Detection
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2023
  
  Preprint DOI Project Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project Project
- Nature dependent tourism – Combining big data and local knowledge
  
  Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
  
  Journal of Environmental Management | April 2023
  
  Publication DOI PDF Project
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project Project
- Turkey Earthquake Report
  
  Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
  
  MSR-TR-2023-7 | February 2023
  
  Published by Microsoft
  
  Publication Project Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project Project
- Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
  
  Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
  
  Animal Behaviour | October 2021
  
  Publication Project Project
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project Project
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project Project
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project Project
- A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
  
  Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
  
  Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
  
  Publication PDF Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project Project
- AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
  
  Benjamin Kellenberger, Devis Tuia, Dan Morris
  
  Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
  
  Publication Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project Project
- A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
  
  Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
  
  Science Direct | September 2020
  
  Publication Project Project Project
- Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
  
  Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
  
  Applied Acoustics | September 2020, Vol 166
  
  Publication Project Project Project
- Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
  
  Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
  
  April 2020
  
  Publication Project
- Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
  
  Publication Project Project Project
- Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
  
  Publication Project Project Project
- Towards Ethical Deployment of AI for Conservation Systems
  
  Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
  
  August 2019
  
  Publication Project
- Efficient Pipeline for Camera Trap Image Review
  
  Sara Beery, Dan Morris, Siyu Yang
  
  July 2019
  
  Publication Project Project
- Efficient Pipeline for Automating Species ID in new Camera Trap Projects
  
  Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
  
  Biodiversity Information Science and Standards | June 2019
  
  DOI PDF Project Project
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project Project
- Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial
  
  Jonathan B Bricker, Brianna M Sullivan, Kristin E Mull, Juan M. Lavista Ferres, Margarita Santiago-Torres
  
  Contemporary Clinical Trials | December 2024
  
  Publication Project
- Current engagement with unreliable sites from web search driven by navigational search
  
  Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
  
  Science Advances | November 2024
  
  Publication PDF
- Survey Data and Human Computation for Improved Flu Tracking
  
  Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer
  
  Nature Communications | January 2021
  
  Publication PDF
- Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
  
  Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
  
  Journal of Community Medicine & Public Health | October 2024
  
  Publication PDF Project
- The New Digital Divide
  
  Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
  
  National Bureau of Economic Research | October 2024
  
  Publication Project
- Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
  
  Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  December 2023
  
  Preprint Github Project
- Open Data on GitHub: Unlocking the Potential of AI
  
  Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  June 2023
  
  Publication
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- Nonstop: A nonstationary online prediction method for time series
  
  Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres
  
  IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549
  
  Publication DOI
- Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
  
  PLOS ONE | February 2024
  
  Publication DOI
- Using Website Referrals to Identify Misinformation Rabbit Holes
  
  Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
  
  June 2023
  
  Publication
- How effective is multifactor authentication at deterring cyberattacks?
  
  Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
  
  May 2023
  
  Publication PDF
- MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
  
  Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
  
  Transactions on Machine Learning Research (TMLR) | October 2022
  
  Publication Project Project
- An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2021
  
  Preprint
- U.S. Broadband Coverage Data Set: A Differentially Private Data Release
  
  Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
  
  March 2021
  
  Publication Publication PDF Project Project Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- privGAN: Protecting GANs from membership inference attacks at low cost
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  May 2020
  
  Under major revision at PETS
  
  Publication
- Protecting GANs against privacy attacks by preventing overfitting
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  December 2019
  
  Publication PDF
- Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
  
  Mayana Pereira, Alok Kumar, Scott Cristiansen
  
  2019 IEEE International Conference on Smart Computing | May 2019
  
  DOI Publication
- Zero-Shot Transfer for Wildlife Bioacoustics Detection
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2023
  
  Preprint DOI Project Project
- Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
  
  Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
  
  Ecological Informatics | September 2021, Vol 64
  
  Publication Project Project Project
- Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
  
  Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
  
  Scientific Reports | August 2021
  
  Publication PDF Project Project Project
- Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
  
  Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
  
  The Journal of the Acoustical Society of America | May 2021
  
  Publication Github Project Project Project
- Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
  
  Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
  
  Applied Acoustics | September 2020, Vol 166
  
  Publication Project Project Project
- Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
  
  Publication Project Project Project
- Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
  
  Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks
  
  Archives of Public Health | July 2023
  
  Publication PDF
- Poverty rate prediction using multi-modal survey and earth observation data
  
  Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  COMPASS ’23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
  
  Publication PDF Project
- Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi
  
  Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres
  
  Data & Policy | October 2022, Vol 4
  
  Publication Project
- Survey Data and Human Computation for Improved Flu Tracking
  
  Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer
  
  Nature Communications | January 2021
  
  Publication PDF
- Open Data on GitHub: Unlocking the Potential of AI
  
  Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  June 2023
  
  Publication
- The moral risk in Machine Learning
  
  Juan M. Lavista Ferres
  
  Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
  
  DOI Publication PDF
- Web browser incorporating social and community features
  
  Juan M. Lavista Ferres, John B. Kahan
  
  January 2020
  
  PDF
- On Dynamic Network Models and Application to Causal Impact
  
  Yu-chia Chen , Avleen S. Bijral, Juan M. Lavista Ferres
  
  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | July 2020
  
  DOI Publication
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project Project

- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF Project
- Mapping global floods with 10 years of satellite radar data
  
  Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka III, Juan M. Lavista Ferres
  
  Nature Communications | July 2025
  
  Publication PDF
- Expanding smallholder irrigation in central Kenya demonstrates the importance of protecting grassland landscapes
  
  Gilles Quentin Hacheme, Stephen Andrew Wood, Renatus Magesa, Girmaw Abebe Tadesse, Caleb Robinson, Elizah Peter, Elkanah Kipkoech, Bernice Sainepo
  
  IOP Science – Environmental Research Letters | June 2025
  
  Publication
- Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | June 2025
  
  Publication Project
- COVID-19 Pandemic-Era Changes in Sudden Unexpected Infant Death in the United States
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Pediatrics | May 2025
  
  Publication PDF Project
- Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac® using machine learning
  
  Md Nasir, Bill Weeks, Shahrzad Gholami, Anthony Marfin, Mark Alderson, Troy Leader, Brian Taliesin, Rahul Dodhia, Juan M. Lavista Ferres, Niranjan Bhat
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators
  
  Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M. Lavista Ferres, Bistra Dilkina
  
  PLoS One | May 2025
  
  Publication DOI PDF
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF Project
- AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings
  
  Anthony Ortiz, Bill Weeks, Juan M. Lavista Ferres, Susana Patiño, Jehú Torres, Juan Mármol, Carlos Serafin, Rahul Dodhia, Gabriela Saidman, Vanina Schbib, Brenda Peña, Guillermo Monteoliva, María Ana Martinez-Castellanos
  
  JAMA Network Open | April 2025
  
  Publication PDF DOI Project
- Multi-modal Language models in bioacoustics with zero-shot transfer: a case study
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  Scientific Reports | February 2025
  
  Publication DOI PDF Project
- Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
  
  Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
  
  Nature Communications | February 2025
  
  Publication PDF Project
- Leveraging public data: Changes in local economic distress and drug overdose deaths at the county level, 2000 – 2019
  
  Shaddy K. Saba, Juan M. Lavista Ferres, Bill Weeks
  
  International Journal of Public Health | February 2025
  
  Publication Project
- AI in the Era of GPT: Transforming the Future of Work and Discovery
  
  Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu, Felipe Lopez-Ramirez, Charles K Crawford, Steven P Rowe
  
  Journal of the American College of Radiology | February 2025
  
  Publication DOI PDF Project
- Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Lee, Lowy Medical Research Institute
  
  Ophthalmology Science | January 2025
  
  Publication DOI Project
- Improving Rural Healthcare by Creating Academic- and Nonacademic-Rural Hospital Partnerships Based on Community Health Needs Assessments and Technological Needs
  
  Suhas Babu, James Weinstein, Juan M. Lavista Ferres, Bill Weeks
  
  The Journal of Rural Health | January 2025
  
  Publication DOI Project
- TorchGeo: Deep Learning With Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM Transactions on Spatial Algorithms and Systems | January 2025
  
  Publication PDF Project
- Efficacy of a conversational chatbot for cigarette smoking cessation: Protocol of the QuitBot full-scale randomized controlled trial
  
  Jonathan B Bricker, Brianna M Sullivan, Kristin E Mull, Juan M. Lavista Ferres, Margarita Santiago-Torres
  
  Contemporary Clinical Trials | December 2024
  
  Publication Project
- Current engagement with unreliable sites from web search driven by navigational search
  
  Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
  
  Science Advances | November 2024
  
  Publication PDF
- Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
  
  Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
  
  Journal of Community Medicine & Public Health | October 2024
  
  Publication PDF Project
- The New Digital Divide
  
  Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
  
  National Bureau of Economic Research | October 2024
  
  Publication Project
- Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
  
  Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
  
  BMJ Public Health | September 2024
  
  Publication PDF Project
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF Project
- A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services
  
  Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira
  
  International Journal of Public Health | August 2024
  
  Publication Publication Project
- Maternal Obesity and Risk of Sudden Unexpected Infant Death
  
  Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Jama Pediatrics | July 2024
  
  Publication Project
- Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
  
  Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  PNAS | June 2024
  
  Publication DOI Project
- Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing
  
  Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez
  
  American Journal of Medical Genetics | June 2024
  
  Publication PDF DOI Project
- Will AI accelerate or delay the race to net-zero emissions?
  
  Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz
  
  Nature | April 2024
  
  Publication
- Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development
  
  Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi
  
  Frontiers in Environmental Science | April 2024
  
  Publication DOI Project
- Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America
  
  Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres
  
  The Journal of Rural Health | March 2024
  
  Publication DOI Project
- Health and Wealth in America
  
  Bill Weeks, Juan M. Lavista Ferres, James Weinstein
  
  International Journal of Public Health | March 2024
  
  Publication DOI Project
- Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15
  
  Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell
  
  Scientific Reports | March 2024
  
  Publication PDF Project
- Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
  
  Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
  
  JAMA Ophthalmology | February 2024
  
  Publication Project
- Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
  
  PLOS ONE | February 2024
  
  Publication DOI
- Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
  
  Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
  
  Health Affairs Scholar | January 2024, Vol 2(1)
  
  Publication DOI Project
- All Sustainable Development Goals Support Good Health and Well-Being
  
  Bill Weeks, James Weinstein, Juan M. Lavista Ferres
  
  International Journal of Public Health | December 2023, Vol 68
  
  Publication DOI Project
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI Project
- The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
  
  Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
  
  Land | November 2023
  
  Publication DOI Project Project Project
- Using Artificial Intelligence to Advance Public Health
  
  Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
  
  International Journal of Public Health (IJPH) | November 2023
  
  Publication DOI Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
  
  IEEE Transactions on Dependable and Secure Computing | October 2023
  
  Publication Publication
- Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
  
  Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
  
  PLOS Global Public Health | October 2023
  
  Publication DOI Project Project
- An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health
  
  Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein
  
  International Journal for Equity in Health | September 2023
  
  Publication PDF Project Project
- Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015
  
  Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell
  
  PLOS ONE | August 2023
  
  Publication DOI Project
- PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
  
  Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  American Association of Physicists in Medicine | August 2023
  
  Publication DOI Project
- Harnessing AI and robotics in humanitarian assistance and disaster response
  
  Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
  
  Science Robotics | July 2023
  
  Publication DOI Project
- Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy
  
  Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks
  
  Archives of Public Health | July 2023
  
  Publication PDF
- Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations
  
  Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges
  
  Journal of Health Care for the Poor and Underserved | May 2023
  
  Publication Project Project
- Watching Innovation in Real Time: The Story of ChatGPT and Radiology
  
  Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
  
  Canadian Association of Radiologists Journal | May 2023
  
  Publication Project
- Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015
  
  Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell
  
  PLoS ONE | April 2023
  
  Publication DOI Project
- Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
  
  Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
  
  Scientific Reports | April 2023
  
  Publication Project
- Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
  
  Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
  
  Computers in Biology and Medicine | April 2023
  
  Publication DOI Project Project
- A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
  
  Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
  
  Medical Imaging 2023 | April 2023
  
  Publication Project
- Nature dependent tourism – Combining big data and local knowledge
  
  Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
  
  Journal of Environmental Management | April 2023
  
  Publication DOI PDF Project
- AI as a Public Service
  
  Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo
  
  Journal of the American College of Radiology | March 2023
  
  Publication Project
- A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
  
  Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
  
  Journal of Marine Science & Engineering | March 2023
  
  Publication Project Project Project
- Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)
  
  Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman
  
  Diagnostic and Interventional Imaging | March 2023
  
  Publication DOI Project
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI Project
- Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
  
  Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
  
  BMC Public Health | December 2022
  
  Publication PDF Project Project
- Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms
  
  Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror
  
  Blood | November 2022
  
  Publication Project
- Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study
  
  Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
  
  Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
  
  JMIR Public Health Surveillance | November 2022
  
  Publication PDF Project Project
- Mapping Glacial Lakes Using Historically Guided Segmentation Models
  
  Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
  
  Publication Project Project Project Project
- Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
  
  Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
  
  PLOS | October 2022
  
  Publication PDF Project Project
- MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
  
  Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
  
  Transactions on Machine Learning Research (TMLR) | October 2022
  
  Publication Project Project
- Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi
  
  Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres
  
  Data & Policy | October 2022, Vol 4
  
  Publication Project
- Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
  
  Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
  
  Scientific Reports | October 2022
  
  Publication PDF Project Project
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, Vol 9(1): pp. 1-13
  
  Publication PDF Project Project Project
- BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin
  
  Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie
  
  Genome Biology | August 2022
  
  Publication PDF Github Project
- Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery
  
  Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458
  
  Publication Preprint Project Project
- Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
  
  Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
  
  ScienceDirect | June 2022
  
  Publication Project
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
  
  Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
  
  JCI Insight | April 2022, Vol 7(10)
  
  DOI Preprint Publication Project Project Project
- Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
  
  EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [….], Juan M. Lavista Ferres
  
  PNAS | April 2022
  
  Publication PDF Project Project
- Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
  
  Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres
  
  Nature Scientific Reports | February 2022
  
  Publication PDF Project Project
- The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
  
  Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
  
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
  
  Publication Project Project
- Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis
  
  Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee
  
  JAMA Ophthalmology | January 2022
  
  Publication Project Project
- Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
  
  Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
  
  Science Direct | January 2022
  
  Publication PDF Project Project
- Height Estimation of Children under Five Years using Depth Images
  
  Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  IEEE Eng Med Biol Soc | November 2021
  
  Publication Project Project
- Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class
  
  Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond
  
  Animal Behaviour | October 2021
  
  Publication Project Project
- Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
  
  Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
  
  Ecological Informatics | September 2021, Vol 64
  
  Publication Project Project Project
- Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification
  
  Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres
  
  Scientific Reports | August 2021
  
  Publication PDF Project Project Project
- Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians
  
  Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks
  
  Journal of the American Geriatrics Society | June 2021
  
  Publication Project
- Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India
  
  Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian
  
  PNAS | May 2021, Vol 118
  
  Publication PDF Project Project
- Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
  
  Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images
  
  Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim
  
  Journal of Nuclear Medicine | May 2021
  
  Publication Project
- Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
  
  Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
  
  The Journal of the Acoustical Society of America | May 2021
  
  Publication Github Project Project Project
- Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study
  
  Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis
  
  Journal of Medical Internet Research | May 2021
  
  Publication PDF Project
- 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
  
  Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
  
  IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
  
  Publication PDF Project Project Project
- Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States
  
  Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell
  
  MCN American Journal of Maternal Child Nursing (In Advance) | February 2021
  
  Publication PDF Project
- Survey Data and Human Computation for Improved Flu Tracking
  
  Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer
  
  Nature Communications | January 2021
  
  Publication PDF
- A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
  
  Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
  
  Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
  
  Publication PDF Project Project
- Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut
  
  Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres
  
  IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020
  
  Publication Project
- AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
  
  Benjamin Kellenberger, Devis Tuia, Dan Morris
  
  Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
  
  Publication Project
- How to Handle Armed Conflict Data in a Real-World Scenario?
  
  Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
  
  Philosophy & Technology | September 2020
  
  Publication Project
- A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
  
  Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
  
  Science Direct | September 2020
  
  Publication Project Project Project
- Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
  
  Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
  
  Applied Acoustics | September 2020, Vol 166
  
  Publication Project Project Project
- Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
  
  Publication Project Project Project
- Geographic Variation in Sudden Unexpected Infant Death in the United States
  
  Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston
  
  The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55
  
  Publication DOI Project
- Distinct populations of sudden unexpected infant death based on age
  
  Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell
  
  Pediatrics | January 2020, Vol 145(1)
  
  PDF DOI Video Project
- Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
  
  Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
  
  The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
  
  Publication Project Project Project
- Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death
  
  Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell
  
  Pediatrics | April 2019, Vol 143(4)
  
  Publication PDF Project
- Nonstop: A nonstationary online prediction method for time series
  
  Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres
  
  IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549
  
  Publication DOI
- The moral risk in Machine Learning
  
  Juan M. Lavista Ferres
  
  Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
  
  DOI Publication PDF
- Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
  
  Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2025
  
  Publication
- GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
  
  Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2025
  
  Publication Project
- Core-Set Selection for Data-efficient Land Cover Segmentation
  
  Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakuş, Paul L Rosin
  
  May 2025
  
  Publication PDF DOI Project
- Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K Nagaraju, James Oakleaf, Joe Kiesecker, Juan M. Lavista Ferres
  
  March 2025
  
  Publication Author's Version
- FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing
  
  Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2025
  
  Publication PDF DOI Project
- Sims: An Interactive Tool for Geospatial Matching and Clustering
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps
  
  Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
  
  December 2024
  
  Publication PDF Project Project Project
- New frontiers in AI for biodiversity research and conservation with multimodal language models
  
  Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2024
  
  Preprint Publication Project
- Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
  
  Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
  
  May 2024
  
  Preprint
- Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
  
  Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
  
  March 2024
  
  Publication Project Project Project
- A Change Detection Reality Check
  
  Isaac Corley, Caleb Robinson, Anthony Ortiz
  
  February 2024
  
  Preprint DOI Project Project
- Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
  
  Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
  
  February 2024
  
  Preprint DOI Project Project
- Weak labeling for cropland mapping in Africa
  
  Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
  
  January 2024
  
  Preprint DOI Project Project
- Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
  
  Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  January 2024
  
  Preprint DOI Project Project
- Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
  
  Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  December 2023
  
  Preprint Github Project
- Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
  
  November 2023
  
  Preprint Project
- Zero-Shot Transfer for Wildlife Bioacoustics Detection
  
  Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
  
  August 2023
  
  Preprint DOI Project Project
- Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
  
  Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
  
  June 2023
  
  Publication PDF Project Project
- Using Website Referrals to Identify Misinformation Rabbit Holes
  
  Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
  
  June 2023
  
  Publication
- Open Data on GitHub: Unlocking the Potential of AI
  
  Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres
  
  June 2023
  
  Publication
- Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
  
  Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
  
  May 2023
  
  Publication Project Project
- How effective is multifactor authentication at deterring cyberattacks?
  
  Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
  
  May 2023
  
  Publication PDF
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication Project
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF Project
- Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
  
  Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
  
  July 2021
  
  Accepted in KDD
  
  Publication Project
- An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
  
  Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
  
  June 2021
  
  Preprint
- Detecting Cattle and Elk in the Wild from Space
  
  Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres
  
  June 2021
  
  KDD 2021 Fragile Earth Workshop
  
  Preprint Project Project Project
- High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
  
  Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
  
  January 2021
  
  Publication Project Project Project
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region
  
  Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks
  
  May 2020
  
  DOI Preprint Project Project
- privGAN: Protecting GANs from membership inference attacks at low cost
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  May 2020
  
  Under major revision at PETS
  
  Publication
- Protecting GANs against privacy attacks by preventing overfitting
  
  Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
  
  December 2019
  
  Publication PDF
- Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
  
  Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
  
  Sustainable Transition with AI workshop at IJCAI 2024 | April 2025
  
  Publication Project
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
  
  Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
  
  Proceedings of the AAAI Conference on Artificial Intelligence | April 2025
  
  Publication Project Project
- Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications
  
  Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication
- PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery
  
  Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
  
  Proceedings of the Winter Conference on Applications of Computer Vision | January 2025
  
  Publication Project Project Project
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
  
  Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR Workshop | December 2024
  
  Publication Project Project Project
- Datasets and Foundation Models for Landsat Imagery
  
  Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
  
  Advances in Neural Information Processing Systems (NeurIPS 2023) | December 2023
  
  Publication Project Project Project
- Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
  
  Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
  
  Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
  
  Publication Project
- Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
  
  S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
  
  2023 IEEE Nuclear Science Symposium | December 2023
  
  Publication DOI Project
- Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
  
  Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS 2023 | November 2023
  
  Publication PDF Project Project
- Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
  
  Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
  
  ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
  
  Publication PDF Project
- Poverty rate prediction using multi-modal survey and earth observation data
  
  Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  COMPASS ’23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
  
  Publication PDF Project
- Mask Conditional Synthetic Satellite Imagery
  
  Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
  
  ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
  
  Publication Project Project
- On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
  
  Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
  
  International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
  
  Publication PDF Project Project
- TorchGeo: Deep Learning with Geospatial Data
  
  Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
  
  ACM SIGSPATIAL 2022 | November 2022
  
  Nominated for best paper
  
  Publication Preprint Project Project
- Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
  
  Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
  
  NeurIPS AI+HADR Workshop 2022 | November 2022
  
  Publication Project Project
- Fast Building Segmentation From Satellite Imagery and Few Local Labels
  
  Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
  
  CVPR 2022 | June 2022
  
  Publication PDF Project Project
- A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images
  
  Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
  
  ACM GoodIT ’21: Proceedings of the Conference on Information Technology for Social Good | September 2021
  
  Publication
- From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
  
  Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 2021
  
  Publication Project Project Project
- Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
  
  Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho
  
  ACM COMPASS 2021 | June 2021
  
  Honorable mention for best paper
  
  Publication Preprint Project Project
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES’21) | April 2021
  
  Publication
- Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
  
  Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
  
  IAAI’21 | February 2021
  
  Publication PDF Project Project
- Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome
  
  Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman
  
  Pacific Symposium on Biocomputing | January 2021
  
  Publication Project Project
- Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
  
  Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
  
  NeurIPS CCAI | December 2020
  
  Publication PDF Project Project Project
- Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
  
  Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
  
  IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
  
  1st place in 2020 IEEE GRSS Data Fusion Contest
  
  Publication Project Project
- On Dynamic Network Models and Application to Causal Impact
  
  Yu-chia Chen , Avleen S. Bijral, Juan M. Lavista Ferres
  
  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | July 2020
  
  DOI Publication
- Local Context Normalization: Revisiting Local Normalization
  
  Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
  
  CVPR 2020 | June 2020
  
  Publication Preprint PDF Project Project
- Human-Machine Collaboration for Fast Land Cover Mapping
  
  Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
  
  AAAI 2020 | April 2020
  
  Publication Preprint PDF Project Project Project
- Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
  
  Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
  
  NeurIPS 2019 | December 2019
  
  PDF Project
- Efficient Pipeline for Automating Species ID in new Camera Trap Projects
  
  Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
  
  Biodiversity Information Science and Standards | June 2019
  
  DOI PDF Project Project
- Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
  
  Mayana Pereira, Alok Kumar, Scott Cristiansen
  
  2019 IEEE International Conference on Smart Computing | May 2019
  
  DOI Publication
- Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
  
  Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
  
  CVPR 2019 | May 2019
  
  Publication PDF Project Project Project
- Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
  
  Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
  
  November 2023
  
  DOI Publication Github
- Uruguay: Talent Report on the IT Sector
  
  Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle
  
  April 2023
  
  PDF PDF
- U.S. Broadband Coverage Data Set: A Differentially Private Data Release
  
  Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
  
  March 2021
  
  Publication Publication PDF Project Project Project
- Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
  
  Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
  
  April 2020
  
  Publication Project
- Web browser incorporating social and community features
  
  Juan M. Lavista Ferres, John B. Kahan
  
  January 2020
  
  PDF
- Towards Ethical Deployment of AI for Conservation Systems
  
  Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
  
  August 2019
  
  Publication Project
- Efficient Pipeline for Camera Trap Image Review
  
  Sara Beery, Dan Morris, Siyu Yang
  
  July 2019
  
  Publication Project Project
- AI for Good: Applications in Sustainability, Humanitarian Action, and Health
  
  Juan M. Lavista Ferres, Bill Weeks
  
  Published by Wiley | April 2024
  
  ISBN: 1394235879
  
  Publication
- AI methods and their application to health and prevention using open data
  
  Juan M. Lavista Ferres
  
  May 2023
  
  PhD Thesis: Vrije Universiteit Amsterdam | May 2023
  
  Publication DOI
- Turkey Earthquake Report
  
  Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
  
  MSR-TR-2023-7 | February 2023
  
  Published by Microsoft
  
  Publication Project Project