Rahul Dodhia

Deputy Lab Director

Publications

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- Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
  
  Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
  
  PLOS One | May 2026
  
  Publication PDF DOI Project
- RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
  
  Meghana Kshirsagar, Ching-An Cheng, Allen Nie, Fanglei Xue, Rahul Dodhia, Juan M. Lavista Ferres, Kevin Kaichuang Yang, F. Dimaio
  
  April 2026
  
  Publication
- 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
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project Project
- Survey Protocol Cards for Crop Maps
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Inbal Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  ML4RS @ ICLR 2026 | April 2026
  
  Publication
- GeoAI Agency Primitives
  
  Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, I. Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint Project
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI 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
  
  IEEE Access | January 2026
  
  Publication PDF DOI Project
- Predictive Models for Kidney Offer Acceptance: Challenges and Strategies
  
  Carlos Martinez, Md Nasir, Meghana Kshirsagar, Cass McCharen , Rae Shean, Juan M. Lavista Ferres, Rahul Dodhia, Bill Weeks
  
  Journal of Transplantation | January 2026
  
  Publication Project
- AI Research as a Continuous Clinical Service
  
  Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
  
  Mayo Clinic Proceedings: Digital Health | December 2025
  
  Publication DOI PDF Project
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF Project
- TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
  
  Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
  
  November 2025
  
  Publication
- Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education
  
  Shahrzad Gholami, Daniel B. Mummert, Beth Wilson, Sarah Page, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Karine D. Bojikian
  
  JAMA Ophthalmology | October 2025
  
  Publication DOI Project
- GhostNetZero: AI for Detecting Marine Ghost Nets
  
  Zhongqi Miao, Gabriele Dederer, Mareen Lee, Emrah Birsin, Crayton Fenn, Kai Krutzke, Theodoros Stougiannis, Rahul Dodhia, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- Bridging Gaps in Ophthalmology Education Through Large Language Models
  
  Shahrzad Gholami, Beth Wilson, Sarah Page, Daniel B. Mummert , Joseph Carr, Robert R. McNabb, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Dale E. Fajardo
  
  AJO International | August 2025
  
  Publication PDF DOI Project
- Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
  
  Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
  
  PloS One | August 2025
  
  Publication PDF 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
  
  Methods in Ecology and Evolution | August 2025
  
  Publication DOI Project
- Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi
  
  Andrew Tomes, Shahrzad Gholami, Conor Hennessy, Cecilia Bitz, Rahul Dodhia, Juan M. Lavista Ferres, C. Leigh Anderson
  
  Cambridge University Press | July 2025
  
  Publication
- 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
- Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery
  
  Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of Machine Learning Research (PMLR) | July 2025
  
  Publication
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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, 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
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- 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
- 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 reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
  
  Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
  
  PLOS One | May 2026
  
  Publication PDF DOI Project
- RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
  
  Meghana Kshirsagar, Ching-An Cheng, Allen Nie, Fanglei Xue, Rahul Dodhia, Juan M. Lavista Ferres, Kevin Kaichuang Yang, F. Dimaio
  
  April 2026
  
  Publication
- 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
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project Project
- Survey Protocol Cards for Crop Maps
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Inbal Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  ML4RS @ ICLR 2026 | April 2026
  
  Publication
- GeoAI Agency Primitives
  
  Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, I. Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint Project
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI 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
  
  IEEE Access | January 2026
  
  Publication PDF DOI Project
- Predictive Models for Kidney Offer Acceptance: Challenges and Strategies
  
  Carlos Martinez, Md Nasir, Meghana Kshirsagar, Cass McCharen , Rae Shean, Juan M. Lavista Ferres, Rahul Dodhia, Bill Weeks
  
  Journal of Transplantation | January 2026
  
  Publication Project
- AI Research as a Continuous Clinical Service
  
  Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
  
  Mayo Clinic Proceedings: Digital Health | December 2025
  
  Publication DOI PDF Project
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF Project
- TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
  
  Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
  
  November 2025
  
  Publication
- Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education
  
  Shahrzad Gholami, Daniel B. Mummert, Beth Wilson, Sarah Page, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Karine D. Bojikian
  
  JAMA Ophthalmology | October 2025
  
  Publication DOI Project
- GhostNetZero: AI for Detecting Marine Ghost Nets
  
  Zhongqi Miao, Gabriele Dederer, Mareen Lee, Emrah Birsin, Crayton Fenn, Kai Krutzke, Theodoros Stougiannis, Rahul Dodhia, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- Bridging Gaps in Ophthalmology Education Through Large Language Models
  
  Shahrzad Gholami, Beth Wilson, Sarah Page, Daniel B. Mummert , Joseph Carr, Robert R. McNabb, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Dale E. Fajardo
  
  AJO International | August 2025
  
  Publication PDF DOI Project
- Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
  
  Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
  
  PloS One | August 2025
  
  Publication PDF 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
  
  Methods in Ecology and Evolution | August 2025
  
  Publication DOI Project
- Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi
  
  Andrew Tomes, Shahrzad Gholami, Conor Hennessy, Cecilia Bitz, Rahul Dodhia, Juan M. Lavista Ferres, C. Leigh Anderson
  
  Cambridge University Press | July 2025
  
  Publication
- 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
- Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery
  
  Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of Machine Learning Research (PMLR) | July 2025
  
  Publication
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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, 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
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- 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
- 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 reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
  
  Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
  
  PLOS One | May 2026
  
  Publication PDF DOI Project
- RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
  
  Meghana Kshirsagar, Ching-An Cheng, Allen Nie, Fanglei Xue, Rahul Dodhia, Juan M. Lavista Ferres, Kevin Kaichuang Yang, F. Dimaio
  
  April 2026
  
  Publication
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF Project
- Predictive Models for Kidney Offer Acceptance: Challenges and Strategies
  
  Carlos Martinez, Md Nasir, Meghana Kshirsagar, Cass McCharen , Rae Shean, Juan M. Lavista Ferres, Rahul Dodhia, Bill Weeks
  
  Journal of Transplantation | January 2026
  
  Publication Project
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF Project
- Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education
  
  Shahrzad Gholami, Daniel B. Mummert, Beth Wilson, Sarah Page, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Karine D. Bojikian
  
  JAMA Ophthalmology | October 2025
  
  Publication DOI Project
- Bridging Gaps in Ophthalmology Education Through Large Language Models
  
  Shahrzad Gholami, Beth Wilson, Sarah Page, Daniel B. Mummert , Joseph Carr, Robert R. McNabb, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Dale E. Fajardo
  
  AJO International | August 2025
  
  Publication PDF DOI Project
- Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
  
  Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
  
  PloS One | August 2025
  
  Publication PDF 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project Project
- GeoAI Agency Primitives
  
  Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, I. Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery
  
  Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of Machine Learning Research (PMLR) | July 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project Project
- GeoAI Agency Primitives
  
  Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, I. Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint Project
- GhostNetZero: AI for Detecting Marine Ghost Nets
  
  Zhongqi Miao, Gabriele Dederer, Mareen Lee, Emrah Birsin, Crayton Fenn, Kai Krutzke, Theodoros Stougiannis, Rahul Dodhia, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- 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
  
  Methods in Ecology and Evolution | August 2025
  
  Publication DOI Project
- Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery
  
  Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of Machine Learning Research (PMLR) | July 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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

- RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design
  
  Meghana Kshirsagar, Ching-An Cheng, Allen Nie, Fanglei Xue, Rahul Dodhia, Juan M. Lavista Ferres, Kevin Kaichuang Yang, F. Dimaio
  
  April 2026
  
  Publication
- GeoAI Agency Primitives
  
  Akram Zaytar, Rohan Sawahn, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, I. Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  April 2026
  
  Publication
- 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
- 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
- Survey Protocol Cards for Crop Maps
  
  Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Inbal Becker-Reshef, Rahul Dodhia, Juan M. Lavista Ferres
  
  ML4RS @ ICLR 2026 | April 2026
  
  Publication
- Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
  
  Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI Conference on Artificial Intelligence (AAAI-26) | March 2026
  
  Publication PDF DOI Preprint Project
- Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery
  
  Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
  
  Proceedings of Machine Learning Research (PMLR) | July 2025
  
  Publication
- 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
- 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
- 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
- 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
- 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
- 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
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF Project
- TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
  
  Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
  
  November 2025
  
  Publication
- GhostNetZero: AI for Detecting Marine Ghost Nets
  
  Zhongqi Miao, Gabriele Dederer, Mareen Lee, Emrah Birsin, Crayton Fenn, Kai Krutzke, Theodoros Stougiannis, Rahul Dodhia, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Metadata-Based Detection of Child Sexual Abuse Material
  
  Mayana Pereira, Rahul Dodhia, Richard Brown
  
  October 2020
  
  Publication PDF Publication
- Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
  
  Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
  
  PLOS One | May 2026
  
  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
  
  PLOS One | April 2026
  
  Publication DOI PDF Project Project 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
  
  IEEE Access | January 2026
  
  Publication PDF DOI Project
- Predictive Models for Kidney Offer Acceptance: Challenges and Strategies
  
  Carlos Martinez, Md Nasir, Meghana Kshirsagar, Cass McCharen , Rae Shean, Juan M. Lavista Ferres, Rahul Dodhia, Bill Weeks
  
  Journal of Transplantation | January 2026
  
  Publication Project
- AI Research as a Continuous Clinical Service
  
  Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
  
  Mayo Clinic Proceedings: Digital Health | December 2025
  
  Publication DOI PDF Project
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF Project
- Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education
  
  Shahrzad Gholami, Daniel B. Mummert, Beth Wilson, Sarah Page, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Karine D. Bojikian
  
  JAMA Ophthalmology | October 2025
  
  Publication DOI Project
- Bridging Gaps in Ophthalmology Education Through Large Language Models
  
  Shahrzad Gholami, Beth Wilson, Sarah Page, Daniel B. Mummert , Joseph Carr, Robert R. McNabb, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Dale E. Fajardo, Dale E. Fajardo
  
  AJO International | August 2025
  
  Publication PDF DOI Project
- Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
  
  Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
  
  PloS One | August 2025
  
  Publication PDF 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
  
  Methods in Ecology and Evolution | August 2025
  
  Publication DOI Project
- Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi
  
  Andrew Tomes, Shahrzad Gholami, Conor Hennessy, Cecilia Bitz, Rahul Dodhia, Juan M. Lavista Ferres, C. Leigh Anderson
  
  Cambridge University Press | July 2025
  
  Publication
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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

Rahul Dodhia

Publications

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design

Sims: An Interactive Tool for Geospatial Matching and Clustering

Survey Protocol Cards for Crop Maps

GeoAI Agency Primitives

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Core-Set Selection for Data-efficient Land Cover Segmentation

Predictive Models for Kidney Offer Acceptance: Challenges and Strategies

AI Research as a Continuous Clinical Service

Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery

Leveraging Large Language Models to Generate Multiple-Choice Questions for Ophthalmology Education

GhostNetZero: AI for Detecting Marine Ghost Nets

Bridging Gaps in Ophthalmology Education Through Large Language Models

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

New frontiers in AI for biodiversity research and conservation with multimodal language models

Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data

Enhancing Food Security with High-Quality Land-Use and Land-Cover Maps: A Local Model Approach

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models

Modeling protective meningococcal antibody responses and factors influencing antibody persistence following vaccination with MenAfriVac® using machine learning

Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators

Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections

AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings

Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning

Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery

Multi-modal Language models in bioacoustics with zero-shot transfer: a case study

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm

FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing

Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models

Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps

Current engagement with unreliable sites from web search driven by navigational search

The New Digital Divide

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

Weak labeling for cropland mapping in Africa

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions

Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images

The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images

Metadata-Based Detection of Child Sexual Abuse Material

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography

Poverty rate prediction using multi-modal survey and earth observation data

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event

Using Website Referrals to Identify Misinformation Rabbit Holes

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset

Turkey Earthquake Report

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms

The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data

Mapping Glacial Lakes Using Historically Guided Segmentation Models

Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models

Fast Building Segmentation From Satellite Imagery and Few Local Labels

Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes

Height Estimation of Children under Five Years using Depth Images

Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks