OpenHealth Platform for Interactive Contextualization of Population Health Open Data. - Jonas S. Almeida; Janos G. Hajagos; Ivan Crnosija; Tahsin M. Kurç; Mary M. Saltz; Joel H. Saltz (AMIA, 2015)

Integrative Informatics and Predictive Modeling Support for Population Health. - Mary M. Saltz; Joel H. Saltz; Janos G. Hajagos; Andrew White; Charles Boicey; Jim Murry; Ivan Crnosija; Tahsin M. Kurç; Erich Bremer; Jonas S. Almeida (AMIA, 2015)

S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum. - Sarah B. Putney; Andrew White; Janos G. Hajagos; Joel H. Saltz; Jonas S. Almeida; Mary M. Saltz (AMIA, 2016)

Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. - Xin Chen 022; Yu Wang 137; Xiaxia Yu; Elinor Schoenfeld; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (AMIA, 2017)

Spatio-temporal Analysis for New York State SPARCS Data. - Xin Chen 022; Yu Wang 137; Elinor Schoenfeld; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (CRI, 2017)

Social Media Based Analysis of Opioid Epidemic Using Reddit. - Sheetal Pandrekar Mangesh; Xin Chen 022; Gaurav Gopalkrishna; Avi Srivastava; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (AMIA, 2018)

Disease phenotyping using deep learning: A diabetes case study. - Sina Rashidian; Janos G. Hajagos; Richard A. Moffitt; Fusheng Wang 001; Xinyu Dong; Kayley Abell-Hart; Kimberly Noel; Rajarsi R. Gupta; Mathew Tharakan; Veena Lingam; Joel H. Saltz; Mary M. Saltz (CoRR, 2018)

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. - Xinyu Dong; Sina Rashidian; Yu Wang 137; Janos G. Hajagos; Xia Zhao; Richard N. Rosenthal; Jun Kong 002; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (AMIA, 2019)

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. - Sina Rashidian; Fusheng Wang 001; Richard A. Moffitt; Victor Garcia; Anurag Dutt; Wei Chang; Vishwam Pandya; Janos G. Hajagos; Mary M. Saltz; Joel H. Saltz (AIME, 2020)

Inpatient Point of Care Glucose Performance Analysis Using Paired Timestamps. - Chao-Wei Tsai; Kayley Abell-Hart; Joshua Miller; Danielle J. Kelly; Mary M. Saltz; Veena Lingam (AMIA, 2020)

Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. - Sritha Rajupet; Rachel Wong; Donna Moller; Lisa Maldonado; Tricia Weiss; Tahsin M. Kurç; Janos G. Hajagos; Hasit Shah; Mary M. Saltz; Joel H. Saltz; Veena Lingam (AMIA, 2021)

Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. - Siao Sun; Fusheng Wang 001; Sina Rashidian; Tahsin M. Kurç; Kayley Abell-Hart; Janos G. Hajagos; Wei Zhu 008; Mary M. Saltz; Joel H. Saltz (AMIA, 2021)

Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. - Xinyu Dong; Jianyuan Deng; Sina Rashidian; Kayley Abell-Hart; Wei Hou; Richard N. Rosenthal; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (J. Am. Medical Informatics Assoc., 2021)

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. - Xinyu Dong; Jianyuan Deng; Wei Hou; Sina Rashidian; Richard N. Rosenthal; Mary M. Saltz; Joel H. Saltz; Fusheng Wang 001 (J. Biomed. Informatics, 2021)

Learning Topological Interactions for Multi-Class Medical Image Segmentation. - Saumya Gupta; Xiaoling Hu 002; James Kaan; Michael Jin; Mutshipay Mpoy; Katherine Chung; Gagandeep Singh; Mary M. Saltz; Tahsin M. Kurç; Joel H. Saltz; Apostolos Tassiopoulos; Prateek Prasanna; et al. (ECCV (29), 2022)