Rahul Dodhia

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

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication Project

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

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

Publication Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication Project Project Project

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

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

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication Project

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

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

Publication Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication Project Project Project

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

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

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication Project

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres

May 2024

Preprint

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

Publication Project

Weak labeling for cropland mapping in Africa

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

January 2024

Preprint DOI Project Project

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

Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad

January 2024

Preprint DOI Project Project

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres

NeurIPS 2023 | November 2023

Publication PDF Project Project

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

Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi

Land | November 2023

Publication DOI Project Project Project

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

Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres

November 2023

Preprint Project

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres

August 2023

Preprint DOI Project Project

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

Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres

June 2023

Publication PDF Project Project

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

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

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

Publication Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication Project Project Project

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

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

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

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

Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres

August 2024

Preprint Publication Project

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres

May 2024

Preprint

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

Publication Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

March 2024

Publication Project Project Project

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

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

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

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

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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

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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

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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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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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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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