Juan M. Lavista Ferres

A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services

Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira

International Journal of Public Health | August 2024

Publication Publication Project

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

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

August 2024

Preprint Publication Project

Maternal Obesity and Risk of Sudden Unexpected Infant Death

Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell

Jama Pediatrics | July 2024

Publication Project

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

PNAS | June 2024

Publication DOI Project

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

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

May 2024

Preprint

Will AI accelerate or delay the race to net-zero emissions?

Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz

Nature | April 2024

Publication

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

AI for Good: Applications in Sustainability, Humanitarian Action, and Health

Juan M. Lavista Ferres, Bill Weeks

Published by Wiley | April 2024

ISBN: 1394235879

Publication

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI Project

Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America

Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres

The Journal of Rural Health | March 2024

Publication DOI Project

Health and Wealth in America

Bill Weeks, Juan M. Lavista Ferres, James Weinstein

International Journal of Public Health | March 2024

Publication DOI Project

Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15

Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell

Scientific Reports | March 2024

Publication PDF Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

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

March 2024

Publication Project Project Project

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

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks, James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

Publication DOI Project

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks (wiweeks), James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

DOI

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

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

Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

Machine Learning for Structural Biology Workshop, NeurIPS | December 2023

Publication Project

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

S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim

2023 IEEE Nuclear Science Symposium | December 2023

Publication DOI Project

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

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

NeurIPS 2023 | November 2023

Publication PDF Project Project

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

Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim

November 2023

DOI Publication Github

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

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

Land | November 2023

Publication DOI Project Project Project

Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing

Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez

November 2023

Preprint 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

An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health

Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein

International Journal for Equity in Health | September 2023

Publication PDF Project Project

Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015

Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell

PLOS ONE | August 2023

Publication DOI Project

PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images

Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

American Association of Physicists in Medicine | August 2023

Publication DOI Project

Zero-Shot Transfer for Wildlife Bioacoustics Detection

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

August 2023

Preprint DOI Project Project

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Publication PDF

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

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

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

Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023

Publication PDF Project

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

AI methods and their application to health and prevention using open data

Juan M. Lavista Ferres

May 2023

PhD Thesis: Vrije Universiteit Amsterdam | May 2023

Publication DOI

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

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

May 2023

Publication Project Project

Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations

Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges

Journal of Health Care for the Poor and Underserved | May 2023

Publication Project Project

Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015

Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell

PLoS ONE | April 2023

Publication DOI Project

Uruguay: Talent Report on the IT Sector

Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle

April 2023

PDF PDF

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

Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh

Scientific Reports | April 2023

Publication Project

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

Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres

Computers in Biology and Medicine | April 2023

Publication DOI Project Project

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

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim

Medical Imaging 2023 | April 2023

Publication Project

AI as a Public Service

Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo

Journal of the American College of Radiology | March 2023

Publication Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)

Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman

Diagnostic and Interventional Imaging | March 2023

Publication DOI Project

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

Turkey Earthquake Report

Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres

MSR-TR-2023-7 | February 2023

Published by Microsoft

Publication Project Project

Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors

Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson

BMC Public Health | December 2022

Publication PDF Project Project

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

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres

International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022

Publication PDF Project Project

TorchGeo: Deep Learning with Geospatial Data

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

ACM SIGSPATIAL 2022 | November 2022

Nominated for best paper

Publication Preprint Project Project

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

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study

Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

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

Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

Mapping Glacial Lakes Using Historically Guided Segmentation Models

Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022

Publication Project Project Project Project

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

Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres

PLOS | October 2022

Publication PDF Project Project

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

Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres

Transactions on Machine Learning Research (TMLR) | October 2022

Publication Project Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19

Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju

Scientific Reports | October 2022

Publication PDF Project Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin

Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie

Genome Biology | August 2022

Publication PDF Github Project

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint Project Project

Fast Building Segmentation From Satellite Imagery and Few Local Labels

Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

CVPR 2022 | June 2022

Publication PDF Project Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim

ScienceDirect | June 2022

Publication Project

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [....], Juan M. Lavista Ferres

PNAS | April 2022

Publication PDF Project Project

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

Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres

Nature Scientific Reports | February 2022

Publication PDF Project Project

Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis

Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee

JAMA Ophthalmology | January 2022

Publication Project Project

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

Publication PDF Project Project

Parameters of Chronic Kidney Disease to Identify Outpatients at Increased Risk for COVID-19 Mortality: A Cohort Study of UK Biobank Participants

Anusua Trivedi, W. Conrad Liles, Nicholas Becker, Juan M. Lavista Ferres, Dr. Aaron Lee, Dr. Pavan Bhatraju

The Open Urology & Nephrology Journal | December 2021

Publication Publication Project

Height Estimation of Children under Five Years using Depth Images

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres

IEEE Eng Med Biol Soc | November 2021

Publication Project Project

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

Publication Project Project

A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images

Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres

ACM GoodIT '21: Proceedings of the Conference on Information Technology for Social Good | September 2021

Publication

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

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases

Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres

July 2021

Accepted in KDD

Publication Project

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho

ACM COMPASS 2021 | June 2021

Honorable mention for best paper

Publication Preprint Project Project

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

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres

June 2021

Preprint

Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians

Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks

Journal of the American Geriatrics Society | June 2021

Publication Project

Detecting Cattle and Elk in the Wild from Space

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres

June 2021

KDD 2021 Fragile Earth Workshop

Preprint Project Project Project

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 Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication Project Project

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images

Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study

Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis

Journal of Medical Internet Research | May 2021

Publication PDF Project

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

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github Project Project Project

Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases

Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF Project Project Project

Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States

Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell

MCN American Journal of Maternal Child Nursing (In Advance) | February 2021

Publication PDF Project

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome

Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman

Pacific Symposium on Biocomputing | January 2021

Publication Project Project

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio

NeurIPS CCAI | December 2020

Publication PDF Project Project Project

Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut

Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres

IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020

Publication Project

How to Handle Armed Conflict Data in a Real-World Scenario?

Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma

Philosophy & Technology | September 2020

Publication Project

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Publication Project Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project Project

On Dynamic Network Models and Application to Causal Impact

Yu-chia Chen , Avleen S. Bijral, Juan M. Lavista Ferres

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | July 2020

DOI Publication

P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region

Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks

May 2020

DOI Preprint Project Project

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

May 2020

Under major revision at PETS

Publication

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer

March 2020

Publication PDF

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project Project

Geographic Variation in Sudden Unexpected Infant Death in the United States

Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston

The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55

Publication DOI Project

Web browser incorporating social and community features

Juan M. Lavista Ferres, John B. Kahan

January 2020

PDF Publication

Distinct populations of sudden unexpected infant death based on age

Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell

Pediatrics | January 2020, Vol 145(1)

PDF DOI Video Project

Protecting GANs against privacy attacks by preventing overfitting

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

December 2019

Publication PDF

Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection

Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia

NeurIPS 2019 | December 2019

PDF Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project Project

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres

October 2019

Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World

Publication

Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death

Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell

Pediatrics | April 2019, Vol 143(4)

Publication PDF Project

Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study

JMIR formative research | March 2019, Vol 3(1): pp. e10246

DOI Publication

Nonstop: A nonstationary online prediction method for time series

Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres

IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549

Publication DOI

The moral risk in Machine Learning

Juan M. Lavista Ferres

Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235

DOI Publication PDF

Tracking Users’ Clicks and Submits: Tradeoffs between User Experience and Data Loss

Ron Kohavi, David Messner, Seth Eliot, Juan M. Lavista Ferres, Randy Henne, Vignesh Kannappan, Justin Wang

November 2010

Publication

System and methods for facilitating user- requested content services and related technologies

Pascal Stolz, Juan M. Lavista Ferres, William M. Fawthrop, Andrés Nicolás Charbonier Etchenique, Diego Acosta Mislej

February 2010

Publication PDF

Online Experimentation at Microsoft

Ronny Kohavi, Thomas Crook, Roger Longbotham, Brian Frasca, Randy Henne, Juan Lavista Ferres, Tamir Melamed, Juan M. Lavista Ferres

July 2009

Publication

A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services

Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira

International Journal of Public Health | August 2024

Publication Publication Project

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

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

August 2024

Preprint Publication Project

Maternal Obesity and Risk of Sudden Unexpected Infant Death

Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell

Jama Pediatrics | July 2024

Publication Project

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

PNAS | June 2024

Publication DOI Project

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

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

May 2024

Preprint

Will AI accelerate or delay the race to net-zero emissions?

Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz

Nature | April 2024

Publication

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

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI Project

AI for Good: Applications in Sustainability, Humanitarian Action, and Health

Juan M. Lavista Ferres, Bill Weeks

Published by Wiley | April 2024

ISBN: 1394235879

Publication

Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America

Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres

The Journal of Rural Health | March 2024

Publication DOI Project

Health and Wealth in America

Bill Weeks, Juan M. Lavista Ferres, James Weinstein

International Journal of Public Health | March 2024

Publication DOI Project

Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15

Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell

Scientific Reports | March 2024

Publication PDF Project

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery

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

March 2024

Publication Project Project Project

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

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks (wiweeks), James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

DOI

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

Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

Machine Learning for Structural Biology Workshop, NeurIPS | December 2023

Publication Project

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

S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim

2023 IEEE Nuclear Science Symposium | December 2023

Publication DOI Project

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition

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

NeurIPS 2023 | November 2023

Publication PDF Project Project

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

Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim

November 2023

DOI Publication Github

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

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

Land | November 2023

Publication DOI Project Project Project

Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing

Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez

November 2023

Preprint 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

An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health

Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein

International Journal for Equity in Health | September 2023

Publication PDF Project Project

Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015

Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell

PLOS ONE | August 2023

Publication DOI Project

PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images

Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

American Association of Physicists in Medicine | August 2023

Publication DOI Project

Zero-Shot Transfer for Wildlife Bioacoustics Detection

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

August 2023

Preprint DOI Project Project

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Publication PDF

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

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

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

Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023

Publication PDF Project

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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

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

May 2023

Publication Project Project

AI methods and their application to health and prevention using open data

Juan M. Lavista Ferres

May 2023

PhD Thesis: Vrije Universiteit Amsterdam | May 2023

Publication DOI

Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations

Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges

Journal of Health Care for the Poor and Underserved | May 2023

Publication Project Project

Uruguay: Talent Report on the IT Sector

Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle

April 2023

PDF PDF

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

Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh

Scientific Reports | April 2023

Publication Project

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

Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres

Computers in Biology and Medicine | April 2023

Publication DOI Project Project

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

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim

Medical Imaging 2023 | April 2023

Publication Project

AI as a Public Service

Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo

Journal of the American College of Radiology | March 2023

Publication Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)

Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman

Diagnostic and Interventional Imaging | March 2023

Publication DOI Project

Turkey Earthquake Report

Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres

MSR-TR-2023-7 | February 2023

Published by Microsoft

Publication Project Project

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

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study

Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

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

Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

Mapping Glacial Lakes Using Historically Guided Segmentation Models

Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022

Publication Project Project Project Project

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

Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres

Transactions on Machine Learning Research (TMLR) | October 2022

Publication Project Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim

ScienceDirect | June 2022

Publication Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis

Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee

JAMA Ophthalmology | January 2022

Publication Project Project

A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images

Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres

ACM GoodIT '21: Proceedings of the Conference on Information Technology for Social Good | September 2021

Publication

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

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

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

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres

June 2021

Preprint

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 Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication Project Project

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases

Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images

Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

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

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github Project Project Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF Project Project Project

Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States

Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell

MCN American Journal of Maternal Child Nursing (In Advance) | February 2021

Publication PDF Project

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome

Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman

Pacific Symposium on Biocomputing | January 2021

Publication Project Project

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio

NeurIPS CCAI | December 2020

Publication PDF Project Project Project

Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut

Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres

IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020

Publication Project

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

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

May 2020

Under major revision at PETS

Publication

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project Project

Protecting GANs against privacy attacks by preventing overfitting

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

December 2019

Publication PDF

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project Project

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres

October 2019

Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World

Publication

The moral risk in Machine Learning

Juan M. Lavista Ferres

Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235

DOI Publication PDF

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

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

August 2024

Preprint Publication Project

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation

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

May 2024

Preprint

Will AI accelerate or delay the race to net-zero emissions?

Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz

Nature | April 2024

Publication

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

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI Project

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

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

Turkey Earthquake Report

Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres

MSR-TR-2023-7 | February 2023

Published by Microsoft

Publication Project Project

TorchGeo: Deep Learning with Geospatial Data

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

ACM SIGSPATIAL 2022 | November 2022

Nominated for best paper

Publication Preprint Project Project

Mapping Glacial Lakes Using Historically Guided Segmentation Models

Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022

Publication Project Project Project Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint Project Project

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

Publication Project Project

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon Anderson, Daniel E. Ho

ACM COMPASS 2021 | June 2021

Honorable mention for best paper

Publication Preprint Project Project

Detecting Cattle and Elk in the Wild from Space

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres

June 2021

KDD 2021 Fragile Earth Workshop

Preprint Project Project Project

Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres

IAAI'21 | February 2021

Publication PDF Project Project

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio

NeurIPS CCAI | December 2020

Publication PDF Project Project Project

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

A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services

Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira

International Journal of Public Health | August 2024

Publication Publication Project

Maternal Obesity and Risk of Sudden Unexpected Infant Death

Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell

Jama Pediatrics | July 2024

Publication Project

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

PNAS | June 2024

Publication DOI Project

Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America

Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres

The Journal of Rural Health | March 2024

Publication DOI Project

Health and Wealth in America

Bill Weeks, Juan M. Lavista Ferres, James Weinstein

International Journal of Public Health | March 2024

Publication DOI Project

Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15

Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell

Scientific Reports | March 2024

Publication PDF Project

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

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks, James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

Publication DOI Project

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks (wiweeks), James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

DOI

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

Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing

Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez

November 2023

Preprint Project

An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health

Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein

International Journal for Equity in Health | September 2023

Publication PDF Project Project

Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015

Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell

PLOS ONE | August 2023

Publication DOI Project

PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images

Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

American Association of Physicists in Medicine | August 2023

Publication DOI Project

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Publication PDF

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

Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee

ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023

Publication PDF Project

AI methods and their application to health and prevention using open data

Juan M. Lavista Ferres

May 2023

PhD Thesis: Vrije Universiteit Amsterdam | May 2023

Publication DOI

Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations

Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges

Journal of Health Care for the Poor and Underserved | May 2023

Publication Project Project

Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015

Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell

PLoS ONE | April 2023

Publication DOI Project

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

Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh

Scientific Reports | April 2023

Publication Project

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

Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres

Computers in Biology and Medicine | April 2023

Publication DOI Project Project

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

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim

Medical Imaging 2023 | April 2023

Publication Project

AI as a Public Service

Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo

Journal of the American College of Radiology | March 2023

Publication Project

Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)

Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman

Diagnostic and Interventional Imaging | March 2023

Publication DOI Project

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors

Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson

BMC Public Health | December 2022

Publication PDF Project Project

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

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study

Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

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

Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

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

Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres

PLOS | October 2022

Publication PDF Project Project

Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19

Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju

Scientific Reports | October 2022

Publication PDF Project Project

BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin

Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie

Genome Biology | August 2022

Publication PDF Github Project

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim

ScienceDirect | June 2022

Publication Project

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [....], Juan M. Lavista Ferres

PNAS | April 2022

Publication PDF Project Project

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

Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres

Nature Scientific Reports | February 2022

Publication PDF Project Project

Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis

Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee

JAMA Ophthalmology | January 2022

Publication Project Project

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

Publication PDF Project Project

Parameters of Chronic Kidney Disease to Identify Outpatients at Increased Risk for COVID-19 Mortality: A Cohort Study of UK Biobank Participants

Anusua Trivedi, W. Conrad Liles, Nicholas Becker, Juan M. Lavista Ferres, Dr. Aaron Lee, Dr. Pavan Bhatraju

The Open Urology & Nephrology Journal | December 2021

Publication Publication Project

Height Estimation of Children under Five Years using Depth Images

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres

IEEE Eng Med Biol Soc | November 2021

Publication Project Project

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases

Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres

July 2021

Accepted in KDD

Publication Project

Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians

Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks

Journal of the American Geriatrics Society | June 2021

Publication Project

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases

Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images

Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study

Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis

Journal of Medical Internet Research | May 2021

Publication PDF Project

Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States

Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell

MCN American Journal of Maternal Child Nursing (In Advance) | February 2021

Publication PDF Project

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 —human interactome

Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman , Judith Klein-Seetharaman

Pacific Symposium on Biocomputing | January 2021

Publication Project Project

Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut

Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres

IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020

Publication Project

P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region

Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks

May 2020

DOI Preprint Project Project

Geographic Variation in Sudden Unexpected Infant Death in the United States

Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston

The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55

Publication DOI Project

Distinct populations of sudden unexpected infant death based on age

Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell

Pediatrics | January 2020, Vol 145(1)

PDF DOI Video Project

Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection

Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia

NeurIPS 2019 | December 2019

PDF Project

Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death

Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell

Pediatrics | April 2019, Vol 143(4)

Publication PDF Project

Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study

JMIR formative research | March 2019, Vol 3(1): pp. e10246

DOI Publication

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

TorchGeo: Deep Learning with Geospatial Data

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

ACM SIGSPATIAL 2022 | November 2022

Nominated for best paper

Publication Preprint Project Project

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint Project Project

Fast Building Segmentation From Satellite Imagery and Few Local Labels

Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

CVPR 2022 | June 2022

Publication PDF Project Project

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

A Machine Learning Pipeline for Aiding School Identification from Child Trafficking Images

Sumit Mukherjee, Tina Sederholm, Anthony Cintron Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres

ACM GoodIT '21: Proceedings of the Conference on Information Technology for Social Good | September 2021

Publication

Detecting Cattle and Elk in the Wild from Space

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres

June 2021

KDD 2021 Fragile Earth Workshop

Preprint Project Project Project

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 Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Publication Publication Publication Project Project

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

May 2020

Under major revision at PETS

Publication

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

Nonstop: A nonstationary online prediction method for time series

Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres

IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549

Publication DOI

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

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa

PLOS ONE | February 2024

Publication DOI

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

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

May 2020

Under major revision at PETS

Publication

Protecting GANs against privacy attacks by preventing overfitting

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

December 2019

Publication PDF

Zero-Shot Transfer for Wildlife Bioacoustics Detection

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

August 2023

Preprint DOI Project Project

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

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

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

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github Project Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project Project

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Publication PDF

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

Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres

COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023

Publication PDF Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer

March 2020

Publication PDF

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres

October 2019

Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World

Publication

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

The moral risk in Machine Learning

Juan M. Lavista Ferres

Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235

DOI Publication PDF

Web browser incorporating social and community features

Juan M. Lavista Ferres, John B. Kahan

January 2020

PDF Publication

System and methods for facilitating user- requested content services and related technologies

Pascal Stolz, Juan M. Lavista Ferres, William M. Fawthrop, Andrés Nicolás Charbonier Etchenique, Diego Acosta Mislej

February 2010

Publication PDF

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer

March 2020

Publication PDF

Tracking Users’ Clicks and Submits: Tradeoffs between User Experience and Data Loss

Ron Kohavi, David Messner, Seth Eliot, Juan M. Lavista Ferres, Randy Henne, Vignesh Kannappan, Justin Wang

November 2010

Publication

Online Experimentation at Microsoft

Ronny Kohavi, Thomas Crook, Roger Longbotham, Brian Frasca, Randy Henne, Juan Lavista Ferres, Tamir Melamed, Juan M. Lavista Ferres

July 2009

Publication

On Dynamic Network Models and Application to Causal Impact

Yu-chia Chen , Avleen S. Bijral, Juan M. Lavista Ferres

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | July 2020

DOI Publication

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

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

December 2023

Preprint Github Project

Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death using Whole Genome Sequencing

Angela M Bard, Lindsay V Clark, Erdal Cosgun, Kimberly A Aldinger, Andrew Timms, Lely A Quina, Juan M. Lavista Ferres, David Jardine, Elisabeth A Haas, Tatiana M Becker, Chelsea M Pagan, Avni Santani, Diego Martinez, Soumitra Barua, Zakkary McNutt, Addie Nesbitt, Edwin A Mitchell, Jan-Marino Ramirez

November 2023

Preprint 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

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehú Torres, Caleb Robinson, Juan M. Lavista Ferres

June 2023

Publication

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

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

May 2023

Publication Project Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases

Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres

July 2021

Accepted in KDD

Publication Project

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

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres

June 2021

Preprint

Detecting Cattle and Elk in the Wild from Space

Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A Stabach, Juan M. Lavista Ferres

June 2021

KDD 2021 Fragile Earth Workshop

Preprint Project Project Project

P0: Progress to zero: A simple metric to measure COVID-19 progress by country/region

Juan M. Lavista Ferres, Ruth B Etzioni, Bill Weeks

May 2020

DOI Preprint Project Project

privGAN: Protecting GANs from membership inference attacks at low cost

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

May 2020

Under major revision at PETS

Publication

Survey Data and Human Computation for Improved Flu Tracking

Stefan Wojcik, Avleen Bijral, Richard Johnston, Juan M. Lavista Ferres, Ryan Kennedy, Alessandro Vespignani, David Lazer

March 2020

Publication PDF

Protecting GANs against privacy attacks by preventing overfitting

Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres

December 2019

Publication PDF

Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India

Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres

October 2019

Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World

Publication

Tracking Users’ Clicks and Submits: Tradeoffs between User Experience and Data Loss

Ron Kohavi, David Messner, Seth Eliot, Juan M. Lavista Ferres, Randy Henne, Vignesh Kannappan, Justin Wang

November 2010

Publication

Online Experimentation at Microsoft

Ronny Kohavi, Thomas Crook, Roger Longbotham, Brian Frasca, Randy Henne, Juan Lavista Ferres, Tamir Melamed, Juan M. Lavista Ferres

July 2009

Publication

A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services

Sumanth Ratna, Bill Weeks, Juan M. Lavista Ferres, Aneesh Chopra, Mayana Pereira

International Journal of Public Health | August 2024

Publication Publication Project

Maternal Obesity and Risk of Sudden Unexpected Infant Death

Darren Tanner, Jan-Marino Ramirez, Bill Weeks, Juan M. Lavista Ferres, Edwin A. Mitchell

Jama Pediatrics | July 2024

Publication Project

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres

PNAS | June 2024

Publication DOI Project

Will AI accelerate or delay the race to net-zero emissions?

Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan M. Lavista Ferres, Eric Horvitz

Nature | April 2024

Publication

Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development

Joseph M. Kiesecker, Jeffrey S. Evans, James R. Oakleaf, Kasandra Zorica Dropuljić, Igor Vejnović, Chris Rosslowe, Elisabeth Cremona, Aishwarya L. Bhattacharjee, Shivaprakash K. Nagaraju, Anthony Ortiz, Caleb Robinson, Juan M. Lavista Ferres, Mate Zec, Kei Sochi

Frontiers in Environmental Science | April 2024

Publication DOI Project

Bridging the rural‐urban divide: An implementation plan for leveraging technology and artificial intelligence to improve health and economic outcomes in rural America

Bill Weeks, Justin Spelhaug , James Weinstein, Juan M. Lavista Ferres

The Journal of Rural Health | March 2024

Publication DOI Project

Health and Wealth in America

Bill Weeks, Juan M. Lavista Ferres, James Weinstein

International Journal of Public Health | March 2024

Publication DOI Project

Improved estimation of the relationship between fetal growth and late stillbirth in the United States, 2014–15

Darren Tanner, Juan M. Lavista Ferres, Edwin A. Mitchell

Scientific Reports | March 2024

Publication PDF Project

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

Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee

JAMA Ophthalmology | February 2024

Publication Project

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

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa

PLOS ONE | February 2024

Publication DOI

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks, James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

Publication DOI Project

All Sustainable Development Goals Support Good Health and Well-Being

Bill Weeks (wiweeks), James Weinstein, Juan M. Lavista Ferres

International Journal of Public Health | December 2023, Vol 68

DOI

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

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

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

Land | November 2023

Publication DOI Project Project Project

An observational, sequential analysis of the relationship between local economic distress and inequities in health outcomes, clinical care, health behaviors, and social determinants of health

Bill Weeks, Juan M. Lavista Ferres, Ji E Chang, José A Pagán, Ann Aerts,, James N Weinstein

International Journal for Equity in Health | September 2023

Publication PDF Project Project

Risk factors for late (28+ weeks’ gestation) stillbirth in the United States, 2014–2015

Darren Tanner, Sushama Murthy, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A. Mitchell

PLOS ONE | August 2023

Publication DOI Project

PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images

Ivan S. Klyuzhin, Guillaume Chaussé, Ingrid Bloise, Sara Harsini, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

American Association of Physicists in Medicine | August 2023

Publication DOI Project

Modeling to explore and challenge inherent assumptions when cultural norms have changed: a case study on left-handedness and life expectancy

Juan M. Lavista Ferres, Md Nasir, Avleen Bijral, S V Subramanian, Bill Weeks

Archives of Public Health | July 2023

Publication PDF

Using data science and a health equity lens to identify long-COVID sequelae among medically underserved populations

Md Nasir, Nicole Cook, Daniel Parras, Sumit Mukherjee, Geralyn Miller, Juan M. Lavista Ferres, Katherine Chung-Bridges

Journal of Health Care for the Poor and Underserved | May 2023

Publication Project Project

Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the US, 2011–2015

Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M. Lavista Ferres, Tatiana M. Anderson, Edwin A. Mitchell

PLoS ONE | April 2023

Publication DOI Project

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

Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh

Scientific Reports | April 2023

Publication Project

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

Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres

Computers in Biology and Medicine | April 2023

Publication DOI Project Project

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

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim

Medical Imaging 2023 | April 2023

Publication Project

AI as a Public Service

Juan M. Lavista Ferres, Elliot K. Fishman , Steven P. Rowe , Linda C. Chu , Elias Lugo-Fagundo

Journal of the American College of Radiology | March 2023

Publication Project

Beyond chatting: The opportunities and challenges of ChatGPT in medicine and radiology (Editorial)

Juan M. Lavista Ferres, Bill Weeks, Linda C. Chu , Steven P. Rowe, Elliot K. Fishman

Diagnostic and Interventional Imaging | March 2023

Publication DOI Project

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors

Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson

BMC Public Health | December 2022

Publication PDF Project Project

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

Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror

Blood | November 2022

Publication Project

Factors Associated with the Intention to Receive the COVID-19 Vaccine: Cross-sectional National Study

Monica L Kasting , Jonathan T Macy , Shaun J Grannis , Ashley J Wiensch , Juan M. Lavista Ferres, Brian E Dixon

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

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

Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson

JMIR Public Health Surveillance | November 2022

Publication PDF Project Project

Mapping Glacial Lakes Using Historically Guided Segmentation Models

Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022

Publication Project Project Project Project

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

Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres

PLOS | October 2022

Publication PDF Project Project

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

Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres

Transactions on Machine Learning Research (TMLR) | October 2022

Publication Project Project

Food Security Analysis and Forecasting: A Machine Learning Case Study in Southern Malawi

Shahrzad Gholami, Erwin Knippenberg, James Campbell, Daniel Andriantsimba, Anusheel Kamle, Pavitraa Parthasarathy, Ria Sankar, Cameron Birge, Juan M. Lavista Ferres

Data & Policy | October 2022, Vol 4

Publication Project

Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19

Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju

Scientific Reports | October 2022

Publication PDF Project Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

BindVAE: Dirichlet Variational Autoencoders for De Novo Motif Discovery from Accessible Chromatin

Meghana Kshirsagar, Han Yuan, Juan M. Lavista Ferres, Christina Leslie

Genome Biology | August 2022

Publication PDF Github Project

Mapping Industrial Poultry Operations at Scale with Deep Learning and Aerial Imagery

Caleb Robinson, Ben Chugg, Brandon Anderson, Juan M. Lavista Ferres, Daniel E Ho

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | July 2022, Vol 15: pp. 7458

Publication Preprint Project Project

Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features

Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim

ScienceDirect | June 2022

Publication Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, [....], Juan M. Lavista Ferres

PNAS | April 2022

Publication PDF Project Project

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

Anusua Trivedi, Anthony Ortiz, Caleb Robinson, Jocelyn Desbiens, Marian Blazes, Sunil Gupta, Rahul Dodhia, Pavan Bhatraju, W Conrad Liles, Aaron Lee, Juan M. Lavista Ferres

Nature Scientific Reports | February 2022

Publication PDF Project Project

Association of Public Health Measures During the COVID-19 Pandemic with the Incidence of Infectious Conjunctivitis

Juan M. Lavista Ferres, Thomas Meirick, Whitney Lomazow, Cecilia S. Lee, Aaron Y. Lee, Michele D. Lee

JAMA Ophthalmology | January 2022

Publication Project Project

Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data

Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes

Science Direct | January 2022

Publication PDF Project Project

Parameters of Chronic Kidney Disease to Identify Outpatients at Increased Risk for COVID-19 Mortality: A Cohort Study of UK Biobank Participants

Anusua Trivedi, W. Conrad Liles, Nicholas Becker, Juan M. Lavista Ferres, Dr. Aaron Lee, Dr. Pavan Bhatraju

The Open Urology & Nephrology Journal | December 2021

Publication Publication Project

Height Estimation of Children under Five Years using Depth Images

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres

IEEE Eng Med Biol Soc | November 2021

Publication Project Project

Social Connectedness and Movements Among Communities of Giraffes Vary by Sex and Age Class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen Bijral, Fred B. Bercovitch, Monica L. Bond

Animal Behaviour | October 2021

Publication Project Project

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

Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres

Ecological Informatics | September 2021, Vol 64

Publication Project Project Project

Comparing Recurrent Convolutional Neural Networks for Large Scale Bird Species Classification

Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan M. Lavista Ferres

Scientific Reports | August 2021

Publication PDF Project Project Project

Association of COVID-19 vaccination prioritization and hospitalization among older Washingtonians

Juan M. Lavista Ferres, Barbra A. Richardson, Bill Weeks

Journal of the American Geriatrics Society | June 2021

Publication Project

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Publication PDF Project Project

Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases

Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

Automated Deep Segmentation of Healthy Organs in PSMA PET/CT Images

Ivan Klyuzhin, Guillaume Chausse, Ingrid Bloise, Juan M. Lavista Ferres, Carlos Uribe, Arman Rahmim

Journal of Nuclear Medicine | May 2021

Publication Project

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

Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres

The Journal of the Acoustical Society of America | May 2021

Publication Github Project Project Project

Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study

Brian E Dixon, Sumit Mukherjee, Ashley Wiensch, Mary L Gray, Juan M. Lavista Ferres, Shaun J Grannis

Journal of Medical Internet Research | May 2021

Publication PDF Project

Sudden Unexpected Postnatal Collapse Resulting in Newborn Death in the United States

Tatiana M Anderson, Juan M. Lavista Ferres, Jan-Marino Ramirez, Edwin A Mitchell

MCN American Journal of Maternal Child Nursing (In Advance) | February 2021

Publication PDF Project

Using Internet Search Trends to Forecast Short-term Drug Overdose Deaths: A Case Study on Connecticut

Sumit Mukherjee, Nicholas Becker, Bill Weeks, Juan M. Lavista Ferres

IEEE International Conference on Machine Learning and Applications (ICMLA) | December 2020

Publication Project

How to Handle Armed Conflict Data in a Real-World Scenario?

Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma

Philosophy & Technology | September 2020

Publication Project

A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network

Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead

Science Direct | September 2020

Publication Project Project Project

Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling

Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide

Applied Acoustics | September 2020, Vol 166

Publication Project Project Project

Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | March 2020, Vol 147(3)

Publication Project Project Project

Geographic Variation in Sudden Unexpected Infant Death in the United States

Edwin A.Mitchell, Xiaohan Yan, Shirley You Ren, Tatiana M. Anderson, Jan-Marino Ramirez, Juan M. Lavista Ferres, Richard Johnston

The Journal of Pediatrics | February 2020, Vol 220: pp. 49-55

Publication DOI Project

Distinct populations of sudden unexpected infant death based on age

Juan M. Lavista Ferres, Tatiana M. Anderson, Richard Johnston, Jan-Marino Ramirez , Edwin A. Mitchell

Pediatrics | January 2020, Vol 145(1)

PDF DOI Video Project

Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale

Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer

The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089

Publication Project Project Project

Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death

Tatiana M. Anderson, Juan M. Lavista Ferres, Shirley You Ren, Rachel Y. Moon, Richard D. Goldstein, Jan-Marino Ramirez, Edwin A. Mitchell

Pediatrics | April 2019, Vol 143(4)

Publication PDF Project

Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study

JMIR formative research | March 2019, Vol 3(1): pp. e10246

DOI Publication

Nonstop: A nonstationary online prediction method for time series

Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres

IEEE Signal Processing Letters | August 2018, Vol 25(10): pp. 1545-1549

Publication DOI

The moral risk in Machine Learning

Juan M. Lavista Ferres

Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235

DOI Publication PDF

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

Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim

November 2023

DOI Publication Github

Uruguay: Talent Report on the IT Sector

Juan M. Lavista Ferres, Lucia Ronchi Darre, Lucas A. Meyer, Pedro Costa, Victoria Cancela, Andrea Mendaro, Carlos Acle

April 2023

PDF PDF

U.S. Broadband Coverage Data Set: A Differentially Private Data Release

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia

March 2021

Publication Publication PDF Project Project Project

Web browser incorporating social and community features

Juan M. Lavista Ferres, John B. Kahan

January 2020

PDF Publication

System and methods for facilitating user- requested content services and related technologies

Pascal Stolz, Juan M. Lavista Ferres, William M. Fawthrop, Andrés Nicolás Charbonier Etchenique, Diego Acosta Mislej

February 2010

Publication PDF

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