Improving Lesion Detection by exploring bias on Skin Lesion dataset. - Anusua Trivedi; Sreya Muppalla; Shreyaan Pathak; Azadeh Mobasher; Pawel Janowski; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2020)

Metadata-Based Detection of Child Sexual Abuse Material. - Mayana Pereira; Rahul Dodhia; Richard Brown (CoRR, 2020)

A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network. - Jack LeBien; Ming Zhong 014; Marconi Campos-Cerqueira; Julian P. Velev; Rahul Dodhia; Juan Lavista Ferres; T. Mitchell Aide (Ecol. Informatics, 2020)

Becoming Good at AI for Good. - Meghana Kshirsagar 001; Caleb Robinson; Siyu Yang; Shahrzad Gholami; Ivan S. Klyuzhin; Sumit Mukherjee; Md Nasir; Anthony Ortiz; Felipe Oviedo; Darren Tanner; Anusua Trivedi; Yixi Xu; et al. (AIES, 2021)

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; et al. (EMBC, 2021)

U.S. Broadband Coverage Data Set: A Differentially Private Data Release. - Mayana Pereira; Allen Kim; Joshua Allen; Kevin White 007; Juan Lavista Ferres; Rahul Dodhia (CoRR, 2021)

Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation. - Anusua Trivedi; Alyssa Suhm; Prathamesh Mahankal; Subhiksha Mukuntharaj; Meghana D. Parab; Malvika Mohan; Meredith Berger; Arathi Sethumadhavan; Ashish Jaiman; Rahul Dodhia (CoRR, 2021)

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres (CoRR, 2021)

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. - Anusua Trivedi; Jocelyn Desbiens; Ron Gross; Sunil Gupta; Rahul Dodhia; Juan Lavista Ferres (CoRR, 2021)

Acoustic detection of regionally rare bird species through deep convolutional neural networks. - Ming Zhong 014; Ruth Taylor; Naomi Bates; Damian Christey; Hari Basnet; Jennifer Flippin; Shane Palkovitz; Rahul Dodhia; Juan Lavista Ferres (Ecol. Informatics, 2021)

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 Workshops, 2022)

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 Lavista Ferres (ICDM (Workshops), 2022)

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery. - Md Nasir; Tina Sederholm; Anshu Sharma; Sundeep Reddy Mallu; Sumedh Ranjan Ghatage; Rahul Dodhia; Juan Lavista Ferres (CoRR, 2022)

Mapping Glacial Lakes Using Historically Guided Segmentation Models. - Anthony Ortiz; Weiyushi Tian; Tenzing Chogyal Sherpa; Finu Shrestha; Mir Matin; Rahul Dodhia; Juan M. Lavista Ferres; Kris Sankaran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

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 (Trans. Mach. Learn. Res., 2022)

Poverty rate prediction using multi-modal survey and earth observation data. - Simone Fobi; Manuel Cardona 003; Elliott Collins; Caleb Robinson; Anthony Ortiz; Tina Sederholm; Rahul Dodhia; Juan Lavista Ferres (COMPASS, 2023)

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 (ICCV (Workshops), 2023)

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 Hyun O; Carlos F. Uribe; Rahul Dodhia; Juan Lavista Ferres; Arman Rahmim (Image Processing, 2023)

Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic. - Mayana Pereira; Kevin T. Greene; Nilima Pisharody; Rahul Dodhia; Jacob N. Shapiro; Juan M. Lavista Ferres (CoRR, 2023)

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. - Mayana Pereira; Meghana Kshirsagar 001; Sumit Mukherjee; Rahul Dodhia; Juan Lavista Ferres; Rafael de Sousa (CoRR, 2023)

Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. - Zalan Fabian; Zhongqi Miao; Chunyuan Li; Yuanhan Zhang; Ziwei Liu 002; Andrés Hernández; Andrés Montes-Rojas; Rafael Escucha; Laura Siabatto; Andrés Link; Pablo Arbeláez; Rahul Dodhia; et al. (CoRR, 2023)

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; Claire Gowdy; Joo Hyun O; Ingrid Bloise; Don Wilson; Patrick Martineau; François Bénard; Fereshteh Yousefirizi; Rahul Dodhia; Juan M. Lavista Ferres; William B. Weeks; et al. (CoRR, 2023)

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. - Yixi Xu; Ivan S. Klyuzhin; Sara Harsini; Anthony Ortiz; Shun Zhang; François Bénard; Rahul Dodhia; Carlos F. Uribe; Arman Rahmim; Juan Lavista Ferres (Comput. Biol. Medicine, 2023)

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. - Isaac Corley; Caleb Robinson; Rahul Dodhia; Juan M. Lavista Ferres; Peyman Najafirad (CVPR Workshops, 2024)

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 (IGARSS, 2024)

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 (STAI@IJCAI, 2024)

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 (CoRR, 2024)

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 (CoRR, 2024)

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 Lavista Ferres; Arman Rahmim (CoRR, 2024)

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation. - Andrés Hernández; Zhongqi Miao; Luisa Vargas; Rahul Dodhia; Juan Lavista Ferres (CoRR, 2024)

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 (CoRR, 2024)

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 (CoRR, 2024)

Metadata-Based Detection of Child Sexual Abuse Material. - Mayana Pereira; Rahul Dodhia; Hyrum S. Anderson; Richard Brown (IEEE Trans. Dependable Secur. Comput., 2024)

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 (AAAI, 2025)

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. - Burak Ekim; Girmaw Abebe Tadesse; Caleb Robinson; Gilles Quentin Hacheme; Michael Schmitt 003; Rahul Dodhia; Juan M. Lavista Ferres (CVPR Workshops, 2025)

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 (WACV (Workshops), 2025)

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 (WACV, 2025)

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; Seyed Hamed Alemohammad; Rahul Dodhia; Juan M. Lavista Ferres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

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 (CoRR, 2025)

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; Joseph Kiesecker; Juan M. Lavista Ferres (CoRR, 2025)

Using website referrals to identify unreliable content rabbit holes. - Kevin T. Greene; Mayana Pereira; Nilima Pisharody; Rahul Dodhia; Juan Lavista Ferres; Jacob N. Shapiro (Behav. Inf. Technol., 2025)

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 Karakus; Paul L. Rosin (CoRR, 2025)

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 (CoRR, 2025)

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. - Akram Zaytar; Caleb Robinson; Girmaw Abebe Tadesse; Tammy Glazer; Gilles Quentin Hacheme; Anthony Ortiz; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India. - Ando Shah; Rajveer Singh; Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Negar Tafti; Stephen Wood; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

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; William B. Weeks; Rahul Dodhia; Juan Lavista Ferres; Narinder Pal Singh (CoRR, 2025)