Rohan Khera

According to our database, Rohan Khera authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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., April, 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

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

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

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity.

Lida Zhang, Rohan Khera, Bobak J. Mortazavi

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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, H. Patrick Young, Joseph S. Ross, Nilay D. Shah, Elitza S. Theel, William G. Jenkinson, Camille Knepper, Karen H. Wang, David Peaper, Richard A. Martinello, Cynthia A. Brandt, Zhenqiu Lin, Albert I. Ko, Harlan M. Krumholz, Benjamin D. Pollock, Wade L. Schulz

npj Digit. Medicine, 2022

Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis.

Gregory Holste, Evangelos K. Oikonomou, Bobak Mortazavi, Zhangyang Wang, Rohan Khera

CoRR, 2022

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

Proceedings of the 5th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2021

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.

Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021