Current engagement with unreliable sites from web search driven by navigational search
Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
Science Advances | November 2024
Publications
Publications by Year
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Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
Journal of Community Medicine & Public Health | October 2024
The New Digital Divide
Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
National Bureau of Economic Research | October 2024
Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
BMJ Public Health | September 2024
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
September 2024
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
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
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
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
Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
PNAS | June 2024
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
May 2024
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
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
AI for Good: Applications in Sustainability, Humanitarian Action, and Health
Juan M. Lavista Ferres, Bill Weeks
Published by Wiley | April 2024
ISBN: 1394235879
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
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
Health and Wealth in America
Bill Weeks, Juan M. Lavista Ferres, James Weinstein
International Journal of Public Health | March 2024
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
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
March 2024
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
JAMA Ophthalmology | February 2024
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
PLOS ONE | February 2024
Weak labeling for cropland mapping in Africa
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
January 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
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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
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
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
Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
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
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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
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
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
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
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
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
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
Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
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
AI methods and their application to health and prevention using open data
May 2023
PhD Thesis: Vrije Universiteit Amsterdam | May 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
May 2023
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
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
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
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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
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
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
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
Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Published by Microsoft
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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
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
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
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
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
The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
JMIR Public Health Surveillance | November 2022
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
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
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
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
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
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
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
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
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
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
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
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
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
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
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
March 2021
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
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
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
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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
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
How to Handle Armed Conflict Data in a Real-World Scenario?
Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
Philosophy & Technology | September 2020
A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
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
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
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
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
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)
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
Web browser incorporating social and community features
Juan M. Lavista Ferres, John B. Kahan
January 2020
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)
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Protecting GANs against privacy attacks by preventing overfitting
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
December 2019
Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
NeurIPS 2019 | December 2019
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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
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)
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
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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
The moral risk in Machine Learning
Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
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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
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
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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
Publications by Research Area
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Current engagement with unreliable sites from web search driven by navigational search
Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
Science Advances | November 2024
Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
BMJ Public Health | September 2024
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
September 2024
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
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
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
Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
PNAS | June 2024
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
May 2024
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
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
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
AI for Good: Applications in Sustainability, Humanitarian Action, and Health
Juan M. Lavista Ferres, Bill Weeks
Published by Wiley | April 2024
ISBN: 1394235879
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
Health and Wealth in America
Bill Weeks, Juan M. Lavista Ferres, James Weinstein
International Journal of Public Health | March 2024
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
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
March 2024
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
JAMA Ophthalmology | February 2024
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
PLOS ONE | February 2024
Weak labeling for cropland mapping in Africa
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
January 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
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
Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
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
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
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
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
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
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
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
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
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
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
Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
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
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
AI methods and their application to health and prevention using open data
May 2023
PhD Thesis: Vrije Universiteit Amsterdam | May 2023
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
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
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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
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
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
Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Published by Microsoft
Novel data analytics identify predictors of quality-of-life trajectories in patients with AML or high-risk Myeloid Neoplasms
Jordan Gauthier, Bianca Furtuna, ,Jacopo Mangiavacchi, Shahrzad Gholami, Juan M. Lavista Ferres, Rahul Dodhia, Amir T. Fathi,, Andrew M. Brunner, Aaron T. Gerds, Mikkael A. Sekeres, Bruno C. Medeiros, Eunice S. Wang, Paul J Shami, Kehinde Adekola, Selina M. Luger, Maria R. Baer, David A Rizzieri, Tanya Wildes, Jamie L. Koprivnikar, Julie Smith, Mitchell A. Garrison, Kiarash Kojouri, Frederick R. Appelbaum, Mary-Elizabeth M. Percival, Stephanie J. Lee, Mohamed L. Sorror
Blood | November 2022
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
The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
JMIR Public Health Surveillance | November 2022
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
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
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
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
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
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
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
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
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
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
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
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
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
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
Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
Becoming Good at AI for Good
Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
March 2021
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
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
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
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
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
How to Handle Armed Conflict Data in a Real-World Scenario?
Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
Philosophy & Technology | September 2020
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
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
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)
Protecting GANs against privacy attacks by preventing overfitting
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
December 2019
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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
The moral risk in Machine Learning
Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
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Current engagement with unreliable sites from web search driven by navigational search
Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
Science Advances | November 2024
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
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Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
Journal of Community Medicine & Public Health | October 2024
The New Digital Divide
Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
National Bureau of Economic Research | October 2024
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
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
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
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
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Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
Journal of Community Medicine & Public Health | October 2024
Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
BMJ Public Health | September 2024
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
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
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
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
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
Health and Wealth in America
Bill Weeks, Juan M. Lavista Ferres, James Weinstein
International Journal of Public Health | March 2024
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
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
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
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
Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
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
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
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
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
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
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
AI methods and their application to health and prevention using open data
May 2023
PhD Thesis: Vrije Universiteit Amsterdam | May 2023
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
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
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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
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
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
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
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
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
The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
JMIR Public Health Surveillance | November 2022
Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
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
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
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
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
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
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
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
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
Height Estimation of Children under Five Years using Depth Images
Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
IEEE Eng Med Biol Soc | November 2021
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
July 2021
Accepted in KDD
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
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
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
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
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
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
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
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
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
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
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)
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
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)
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
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Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
September 2024
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
May 2024
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
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
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
Weak labeling for cropland mapping in Africa
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
January 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
November 2023
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
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
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
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
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
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
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
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
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
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
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
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
A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
May 2024
Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
April 2024
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
March 2024
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
May 2023
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
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
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
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
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
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
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
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
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
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
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Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
PLOS ONE | February 2024
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
June 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
March 2021
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
Protecting GANs against privacy attacks by preventing overfitting
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
December 2019
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Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
Acoustic Detection of Regionally Rare Bird Species Through Deep Convolutional Neural Networks
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
Ecological Informatics | September 2021, Vol 64
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
Detecting, Classifying, and Counting Blue Whale Calls with Siamese Neural Networks
Ming Zhong, Maelle Torterotot, Trevor A. Branch, Kathleen M. Stafford, Jean-Yves Royer, Rahul Dodhia, Juan M. Lavista Ferres
The Journal of the Acoustical Society of America | May 2021
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
Improving Passive Acoustic Monitoring Applications to the Endangered Cook Inlet Beluga Whale
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | November 2019, Vol 146(4): pp. 3089-3089
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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
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
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
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
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
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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
The moral risk in Machine Learning
Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
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Web browser incorporating social and community features
Juan M. Lavista Ferres, John B. Kahan
January 2020
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
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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
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
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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
Publications by Type
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Current engagement with unreliable sites from web search driven by navigational search
Kevin T. Greene, Nilima Pisharody, Lucas A. Meyer, Mayana Pereira, Rahul Dodhia, Juan M. Lavista Ferres
Science Advances | November 2024
Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice
Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres
Journal of Community Medicine & Public Health | October 2024
The New Digital Divide
Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, Juan M. Lavista Ferres
National Bureau of Economic Research | October 2024
Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City
Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks
BMJ Public Health | September 2024
Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
Pancreatology | September 2024
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
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
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
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
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
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
Health and Wealth in America
Bill Weeks, Juan M. Lavista Ferres, James Weinstein
International Journal of Public Health | March 2024
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
Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2
Shahrzad Gholami, Lea Scheppke, Meghana Kshirsagar, Yue Wu, Rahul Dodhia, Roberto Bonelli, Irene Leung, Ferenc B. Sallo, Alyson Muldrew, Catherine Jamison, Tunde Peto, Juan M. Lavista Ferres, Bill Weeks, Martin Friedlander, Aaron Y. Lee
JAMA Ophthalmology | February 2024
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
PLOS ONE | February 2024
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
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
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
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
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
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
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
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
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
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
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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
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
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
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
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
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
The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data
Meghana Kshirsagar, Md Nasir, Sumit Mukherjee, Nicholas Becker, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Barbra Richardson
JMIR Public Health Surveillance | November 2022
Mapping Glacial Lakes Using Historically Guided Segmentation Models
Anthony Ortiz, Weiyushi Tian, Tenzing Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | October 2022
Deep Learning Models for COVID-19 Chest X-ray Classification: Preventing Shortcut Learning Using Feature Disentanglement
Caleb Robinson, Anusua Trivedi, Marian Blazes, Anthony Ortiz, Jocelyn Desbiens, Sunil Gupta, Rahul Dodhia, Pavan K Bhatraju, W Conrad Liles, Aaron Lee, Jayashree Kalpathy-Cramer, Juan M. Lavista Ferres
PLOS | October 2022
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
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
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
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
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
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
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
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
ACS Publications | June 2022
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
How to Handle Armed Conflict Data in a Real-World Scenario?
Anusua Trivedi, Kate Keator, Michael Scholtens, Brandon Haigood, Rahul Dodhia, Juan M. Lavista Ferres, Ria Sankar, Avirishu Verma
Philosophy & Technology | September 2020
A Pipeline for Identification of Bird and Frog Species in Tropical Soundscape Recordings Using a Convolutional Neural Network
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev , Rahul Dodhia, Juan M. Lavista Ferres, Mitchell Aidead
Science Direct | September 2020
Multispecies Bioacoustic Classification Using Transfer Learning of Deep Convolutional Neural Networks with Pseudo-Labeling
Ming Zhong, Jack LeBien, Marconi Campos-Cerqueira, Rahul Dodhia, Juan M. Lavista Ferres, Julian P.Velev, T. Mitchell Aide
Applied Acoustics | September 2020, Vol 166
Beluga Whale Acoustic Signal Classification Using Deep Learning Neural Network Models
Ming Zhong, Manuel Castellote, Rahul Dodhia, Juan M. Lavista Ferres, Mandy Keogh, Arial Brewer
The Journal of the Acoustical Society of America | March 2020, Vol 147(3)
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
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)
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
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)
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
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
The moral risk in Machine Learning
Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
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Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
September 2024
New frontiers in AI for biodiversity research and conservation with multimodal language models
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Rahul Dodhia, Juan M. Lavista Ferres
August 2024
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
Andres Hernandez Celis, Zhongqi Miao, Luisa Vargas Daza, Rahul Dodhia, Juan M. Lavista Ferres
May 2024
Analyzing decades-long environmental changes in Namibia using archival aerial photography and deep learning
Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
April 2024
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
March 2024
Weak labeling for cropland mapping in Africa
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
January 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
January 2024
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
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
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
November 2023
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
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
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
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
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
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
July 2021
Accepted in KDD
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
June 2021
Detecting 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
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
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
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
Protecting GANs against privacy attacks by preventing overfitting
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
December 2019
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
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
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
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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
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
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
Web browser incorporating social and community features
Juan M. Lavista Ferres, John B. Kahan
January 2020
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
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Parameter-Efficient Fine-Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski, Meghana Kshirsagar, Bonnie Berger, Rahul Dodhia, Juan M. Lavista Ferres
Machine Learning for Structural Biology Workshop, NeurIPS | December 2023
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
Shahrzad Gholami, Lea Scheppke, Rahul Dodhia, Juan M. Lavista Ferres, Dr. Aaron Lee
ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH 2023), Short Paper | July 2023
Poverty rate prediction using multi-modal survey and earth observation data
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
COMPASS '23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022
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
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
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
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
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
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
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
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
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
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
Binary Mode Multinomial Deep Learning Model for more efficient Automated Diabetic Retinopathy Detection
Anusua Trivedi, J. Desbiens, Ron Gross, S. Gupta, Juan M. Lavista Ferres, Rahul Dodhia
NeurIPS 2019 | December 2019
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AI for Good: Applications in Sustainability, Humanitarian Action, and Health
Juan M. Lavista Ferres, Bill Weeks
Published by Wiley | April 2024
ISBN: 1394235879
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AI methods and their application to health and prevention using open data
May 2023
PhD Thesis: Vrije Universiteit Amsterdam | May 2023
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Turkey Earthquake Report
Caleb Robinson, Ritwik Gupta , Simone Fobi Nsutezo, Erick Pound, Anthony Ortiz, Melissa Rosa, Kevin White, Rahul Dodhia, Andrew Zolli, Cameron Birge, Juan M. Lavista Ferres
MSR-TR-2023-7 | February 2023
Published by Microsoft