Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. - Zepeng Huo; Lida Zhang; Rohan Khera; Shuai Huang 001; Xiaoning Qian; Zhangyang Wang; Bobak J. Mortazavi (BHI, 2021)

OpenRace: An Open Source Framework for Statically Detecting Data Races. - Bradley Swain; Bozhen Liu; Peiming Liu; Yanze Li; Addison Crump; Rohan Khera; Jeff Huang 001 (Correctness@SC, 2021)

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. - Gregory Holste; Evangelos K. Oikonomou; Bobak Mortazavi; Zhangyang Wang; Rohan Khera (CoRR, 2022)

A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. - Rohan Khera; Bobak J. Mortazavi; Veer Sangha; Frederick Warner; Hobart Patrick Young; Joseph S. Ross; Nilay D. Shah; Elitza S. Theel; William G. Jenkinson; Camille Knepper; Karen H. Wang; David Peaper; et al. (npj Digit. Medicine, 2022)

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. - Lida Zhang; Rohan Khera; Bobak J. Mortazavi (EMBC, 2023)

CarDS-Plus ECG Platform: Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms. - Sumukh Vasisht Shankar; Evangelos K. Oikonomou; Rohan Khera (CoRR, 2023)

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. - Akshay Khunte; Veer Sangha; Evangelos K. Oikonomou; Lovedeep Singh Dhingra; Arya Aminorroaya; Bobak J. Mortazavi; Andreas Coppi; Cynthia A. Brandt; Harlan M. Krumholz; Rohan Khera (npj Digit. Medicine, 2023)

An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. - Evangelos K. Oikonomou; Phyllis M. Thangaraj; Deepak L. Bhatt; Joseph S. Ross; Lawrence H. Young; Harlan M. Krumholz; Marc A. Suchard; Rohan Khera (npj Digit. Medicine, 2023)

Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. - Yuntian Liu; Jeph Herrin; Chenxi Huang; Rohan Khera; Lovedeep Singh Dhingra; Weilai Dong; Bobak J. Mortazavi; Harlan M. Krumholz; Yuan Lu (J. Am. Medical Informatics Assoc., 2023)

Non-invasive Electrolyte Estimation Using Multi-lead ECG Data via Semi-Supervised Contrastive Learning with an Adaptive Loss. - Zhale Nowroozilarki; Sicong Huang 002; Rohan Khera; Bobak J. Mortazavi (BHI, 2024)

ECG Abnormality Detection Using MIMIC-IV-ECG Data Via Supervised Contrastive Learning. - Zhale Nowroozilarki; Sicong Huang 002; Rohan Khera; Bobak J. Mortazavi (EMBC, 2024)

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. - Veer Sangha; Akshay Khunte; Gregory Holste; Bobak J. Mortazavi; Zhangyang Wang; Evangelos K. Oikonomou; Rohan Khera (J. Am. Medical Informatics Assoc., 2024)

Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. - Akhil Vaid; Son Q. Duong; Joshua Lampert; Patricia H. Kovatch; Robert Freeman; Edgar Argulian; Lori Croft; Stamatios Lerakis; Martin Goldman; Rohan Khera; Girish N. Nadkarni (J. Am. Medical Informatics Assoc., 2024)

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Joy Jiang; Ha My Thi Vy; Alexander Charney; Patricia H. Kovatch; Vivek Reddy; Pushkala Jayaraman; Ron Do; Rohan Khera; Sumeet Chugh; Deepak L. Bhatt; Akhil Vaid; Joshua Lampert; et al. (npj Digit. Medicine, 2024)

Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study. - Rohan Khera; Mitsuaki Sawano; Frederick Warner; Andreas Coppi; Aline F. Pedroso; Erica S. Spatz; Sharon Saydah; Kari A. Stephens; Kristin L. Rising; Joann G. Elmore; Mandy J. Hill; Ahamed H. Idris; et al. (J. Am. Medical Informatics Assoc., 2025)