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
AI For Good Lab
Publications
Publications
Publications by Year
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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
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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
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
Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
Health Affairs Scholar | January 2024, Vol 2(1)
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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
Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
Advances in Neural Information Processing Systems (NeurIPS 2023) | 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
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
Using Artificial Intelligence to Advance Public Health
Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
International Journal of Public Health (IJPH) | 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
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
IEEE Transactions on Dependable and Secure Computing | October 2023
Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
PLOS Global Public Health | October 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
Harnessing AI and robotics in humanitarian assistance and disaster response
Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
Science Robotics | July 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
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
June 2023
Using Website Referrals to Identify Misinformation Rabbit Holes
Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
June 2023
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
Mask Conditional Synthetic Satellite Imagery
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
ICLR 2023 Machine Learning for Remote Sensing Workshop | May 2023
Watching Innovation in Real Time: The Story of ChatGPT and Radiology
Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
Canadian Association of Radiologists Journal | May 2023
How effective is multifactor authentication at deterring cyberattacks?
Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
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
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | 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
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | 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
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS AI+HADR Workshop 2022 | 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
T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
JCI Insight | April 2022, Vol 7(10)
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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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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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
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 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
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
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
2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
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
High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
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A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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
AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
Benjamin Kellenberger, Devis Tuia, Dan Morris
Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 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
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
April 2020
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
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
Towards Ethical Deployment of AI for Conservation Systems
Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
August 2019
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
Mayana Pereira, Alok Kumar, Scott Cristiansen
2019 IEEE International Conference on Smart Computing | May 2019
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 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)
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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
Publications by Research Area
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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
Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
Health Affairs Scholar | January 2024, Vol 2(1)
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
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
Using Artificial Intelligence to Advance Public Health
Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
International Journal of Public Health (IJPH) | 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
Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
PLOS Global Public Health | October 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
Watching Innovation in Real Time: The Story of ChatGPT and Radiology
Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
Canadian Association of Radiologists Journal | 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
T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
JCI Insight | April 2022, Vol 7(10)
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
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)
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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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 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
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
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
Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
Health Affairs Scholar | January 2024, Vol 2(1)
Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
Advances in Neural Information Processing Systems (NeurIPS 2023) | 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
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
Using Artificial Intelligence to Advance Public Health
Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
International Journal of Public Health (IJPH) | 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
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
IEEE Transactions on Dependable and Secure Computing | October 2023
Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
PLOS Global Public Health | October 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
Harnessing AI and robotics in humanitarian assistance and disaster response
Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
Science Robotics | July 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
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
June 2023
Using Website Referrals to Identify Misinformation Rabbit Holes
Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
June 2023
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
Watching Innovation in Real Time: The Story of ChatGPT and Radiology
Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
Canadian Association of Radiologists Journal | 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
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | 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
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | 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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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
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
2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
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
High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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
AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
Benjamin Kellenberger, Devis Tuia, Dan Morris
Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 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
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
April 2020
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 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)
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
Towards Ethical Deployment of AI for Conservation Systems
Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
August 2019
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
Mayana Pereira, Alok Kumar, Scott Cristiansen
2019 IEEE International Conference on Smart Computing | May 2019
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
The moral risk in Machine Learning
Integration and Trade Journal | July 2018, Vol 22(44): pp. 229-235
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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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
February 2024
Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
Advances in Neural Information Processing Systems (NeurIPS 2023) | 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
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
Mask Conditional Synthetic Satellite Imagery
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
ICLR 2023 Machine Learning for Remote Sensing Workshop | 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
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS AI+HADR Workshop 2022 | November 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
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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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
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
High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 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
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
April 2020
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
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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
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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
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
Knowledge Augmented Instruction Tuning for Zero-shot Animal Species Recognition
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andres Hernandez, Pablo Arbelaez, Andrés Link, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS 2023 | November 2023
The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands
Joseph M. Kiesecker, Shivaprakash K. Nagaraju, James R. Oakleaf, Anthony Ortiz, Juan M. Lavista Ferres, Caleb Robinson, Srinivas Krishnaswamy, Raman Mehta, Rahul Dodhia, Jeffrey S. Evans , Michael Heiner, Pratiti Priyadarshini, Pooja Chandran, Kei Sochi
Land | November 2023
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
November 2023
Zero-Shot Transfer for Wildlife Bioacoustics Detection
Zhongqi Miao, Benjamin Elizalde, Soham Deshmukh, Justin Kitzes, Huaming Wang, Rahul Dodhia, Juan M. Lavista Ferres
August 2023
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
June 2023
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | April 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
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | 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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 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
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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
AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
Benjamin Kellenberger, Devis Tuia, Dan Morris
Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
April 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)
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
Towards Ethical Deployment of AI for Conservation Systems
Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
August 2019
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 2019
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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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Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
PLOS ONE | February 2024
Using Website Referrals to Identify Misinformation Rabbit Holes
Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
June 2023
How effective is multifactor authentication at deterring cyberattacks?
Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
May 2023
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
June 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
March 2021
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 2020
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
Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
Mayana Pereira, Alok Kumar, Scott Cristiansen
2019 IEEE International Conference on Smart Computing | May 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
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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
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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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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
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Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 2020
Publications by Type
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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
Hospital use of common Z-codes for Medicare fee-for-service beneficiaries, 2017–2021
Ji E Chang, Nate Smith, Zoe Lindenfeld, Bill Weeks
Health Affairs Scholar | January 2024, Vol 2(1)
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
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
Using Artificial Intelligence to Advance Public Health
Bill Weeks, Brian Taliesin, Juan M. Lavista Ferres
International Journal of Public Health (IJPH) | November 2023
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown
IEEE Transactions on Dependable and Secure Computing | October 2023
Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them
Bill Weeks, Ji E. Chang, José A. Pagán, Jeffrey Lumpkin, Divya Michael, Santiago Salcido, Allen Kim, Peter Speyer, Ann Aerts, James N. Weinstein, Juan M. Lavista Ferres
PLOS Global Public Health | October 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
Harnessing AI and robotics in humanitarian assistance and disaster response
Thomas Manzini, Robin R. Murphy, Eric Heim, Caleb Robinson, Guido Zarrella, Ritwik Gupta
Science Robotics | July 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
Watching Innovation in Real Time: The Story of ChatGPT and Radiology
Elliot K. Fishman, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu
Canadian Association of Radiologists Journal | 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
Nature dependent tourism – Combining big data and local knowledge
Mark D. Spalding, Kate Longley-Wood, Valerie Pietsch McNulty, Sherry Constantine, Montserrat Acosta-Morel, Val Anthony, Aaron D. Cole, Giselle Hall, Barry A. Nickel, Steven R. Schill, Peter W. Schuhmann, Darren Tanner
Journal of Environmental Management | 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
A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space
Christin B. Khan, Kimberly T. Goetz, Hannah C. Cubaynes, Caleb Robinson, Erin Murnane, Tyler Aldrich, Meredith Sackett, Penny J. Clarke, Michelle A. LaRue, Timothy White, Kathleen Leonard, Anthony Ortiz, Juan M. Lavista Ferres
Journal of Marine Science & Engineering | 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
T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity
Rebecca Elyanow, Thomas M. Snyder, Sudeb C. Dalai, Rachel M. Gittelman, Boonyaratanakornkit J, Wald A, Selke S, Wener Mh, Morishima C, Greninger Al, Michael Gale, Tien-Ying Hsiang, Lichen Jing, Holbrook Mr, Ian M. Kaplan, Damon H May, H. Jabran Zahid, Jonathan M. Carlson, Lance Baldo, Thomas Manley, Harlan S Robins, David M Koelle
JCI Insight | April 2022, Vol 7(10)
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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track MSD: Multitemporal Semantic Change Detection
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nebojsa Jojic, Kolya Malkin, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | January 2022, Vol 15: pp. 1643-1655
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
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
2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good
Naoto Yokoya, Pedram Ghamisi, Ronny Hansch, Colin Prieur, Hana Malha, Jocelyn Chanussot, Caleb Robinson, Kolya Malkin, Nebojsa Jojic
IEEE Geoscience and Remote Sensing Magazine | March 2021, Vol 9(1): pp. 287-C3
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
A Deep Active Learning System for Species Identification and Counting in Camera Trap Images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
Methods in Ecology and Evolution | December 2020, Vol 12(1): pp. 150-161
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
AIDE: Accelerating Image-Based Ecological Surveys with Interactive Machine Learning
Benjamin Kellenberger, Devis Tuia, Dan Morris
Methods in Ecology and Evolution | November 2020, Vol 11(12): pp. 1716-1727
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)
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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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
A Change Detection Reality Check
Isaac Corley, Caleb Robinson, Anthony Ortiz
February 2024
Mission Critical — Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
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
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
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
June 2023
Using Website Referrals to Identify Misinformation Rabbit Holes
Kevin T Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N Shapiro
June 2023
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
How effective is multifactor authentication at deterring cyberattacks?
Lucas A. Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
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
High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
January 2021
Metadata-Based Detection of Child Sexual Abuse Material
Mayana Pereira, Rahul Dodhia, Richard Brown
October 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
Protecting GANs against privacy attacks by preventing overfitting
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
December 2019
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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
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification
Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen
April 2020
Web browser incorporating social and community features
Juan M. Lavista Ferres, John B. Kahan
January 2020
Towards Ethical Deployment of AI for Conservation Systems
Christine Kaeser-Chen, Tanya Birch, Katherine Chou, Tomer Gadot, Hartwig Adam, Serge Belongie, Tim Robertson, Eric Fegraus, Dan Morris
August 2019
Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
July 2019
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Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
Advances in Neural Information Processing Systems (NeurIPS 2023) | 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
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
Mask Conditional Synthetic Satellite Imagery
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, Caleb Robinson
ICLR 2023 Machine Learning for Remote Sensing Workshop | 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
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
NeurIPS AI+HADR Workshop 2022 | November 2022
Fast Building Segmentation From Satellite Imagery and Few Local Labels
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
CVPR 2022 | June 2022
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
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery
Nebojsa Jojic, Kolya Malkin, Caleb Robinson, Anthony Ortiz
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | July 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
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
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | September 2020
1st place in 2020 IEEE GRSS Data Fusion Contest
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
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic
CVPR 2020 | June 2020
Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
AAAI 2020 | April 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
Efficient Pipeline for Automating Species ID in new Camera Trap Projects
Sara Beery, Dan Morris, Siyu Yang, Marcel Simon, Arash Norouzzadeh, Neel Joshi
Biodiversity Information Science and Standards | June 2019
Identifying Security Bug Reports Based Solely on Report Titles and Noisy Data
Mayana Pereira, Alok Kumar, Scott Cristiansen
2019 IEEE International Conference on Smart Computing | May 2019
Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
CVPR 2019 | May 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