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
Rahul Dodhia
Deputy Director, AI for Good Research Lab
Publications
Publications by Year
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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
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
September 2024
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
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
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
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
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
April 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
March 2024
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
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
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
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
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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
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
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
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
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
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
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
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
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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
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
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
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
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
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
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
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Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
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
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
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
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)
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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
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
Publications by Research Area
-
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
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
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
September 2024
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
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
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
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
April 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
March 2024
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
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
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
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)
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
-
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
-
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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
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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
September 2024
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
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
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
April 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
January 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
January 2024
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
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
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
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
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
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
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
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
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
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)
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
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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
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
April 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
March 2024
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
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
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
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
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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
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
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
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
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
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
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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
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
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
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
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
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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
Publications by Type
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
-
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
September 2024
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
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
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
April 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
March 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
January 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
January 2024
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
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
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
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
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
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
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
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
-
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
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
-
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
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
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
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
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
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
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
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
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
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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
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