Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks. - Benjamin Au; Uri Shaham 001; Sanket S. Dhruva; Georgios Bouras; Ecaterina Cristea; Alexandra Lansky; Andreas Coppi; Fred Warner; Shu-Xia Li; Harlan M. Krumholz (CoRR, 2018)

Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform. - Sanket S. Dhruva; Joseph S. Ross; Joseph G. Akar; Brittany Caldwell; Karla Childers; Wing Chow; Laura Ciaccio; Paul Coplan; Jun Dong; Hayley J. Dykhoff; Stephen Johnston; Todd Kellogg; et al. (npj Digit. Medicine, 2020)

Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. - Nathan C. Hurley; Alyssa Berkowitz; Frederick Masoudi; Joseph S. Ross; Nihar Desai; Nilay Shah; Sanket S. Dhruva; Bobak J. Mortazavi (BHI, 2021)

Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. - Guoqian Jiang; Sanket S. Dhruva; Jiajing Chen; Wade L. Schulz; Amit A. Doshi; Peter A. Noseworthy; Shumin Zhang; Yue Yu; Hobart Patrick Young; Eric Brandt; Keondae R. Ervin; Nilay D. Shah; et al. (J. Am. Medical Informatics Assoc., 2021)

Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform. - Makoto Mori; Sanket S. Dhruva; Arnar Geirsson; Harlan M. Krumholz (npj Digit. Medicine, 2022)

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. - Nathan C. Hurley; Sanket S. Dhruva; Nihar Desai; Joseph R. Ross; Che Ngufor; Frederick Masoudi; Harlan M. Krumholz; Bobak J. Mortazavi (ACM Trans. Comput. Heal., 2023)