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ORCIDRohan Khera
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Journal Articles
- 2024
[j7]Veer Sangha
, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera:
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. J. Am. Medical Informatics Assoc. 31(4): 855-865 (2024)- [j6]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:
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. J. Am. Medical Informatics Assoc. 31(9): 2097-2102 (2024) - [j5]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, Girish N. Nadkarni:
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. npj Digit. Medicine 7(1) (2024) - 2023
- [j4]Yuntian Liu, Jeph Herrin, Chenxi Huang, Rohan Khera, Lovedeep Singh Dhingra, Weilai Dong, Bobak J. Mortazavi, Harlan M. Krumholz, Yuan Lu:
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. J. Am. Medical Informatics Assoc. 30(5): 943-952 (2023) - [j3]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:
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. npj Digit. Medicine 6 (2023) - [j2]Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera:
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. npj Digit. Medicine 6 (2023) - 2022
- [j1]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:
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digit. Medicine 5 (2022)
Conference and Workshop Papers
- 2023
- [c3]Lida Zhang, Rohan Khera, Bobak J. Mortazavi:
Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC 2023: 1-4 - 2021
- [c2]Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - [c1]Bradley Swain, Bozhen Liu, Peiming Liu, Yanze Li, Addison Crump, Rohan Khera, Jeff Huang:
OpenRace: An Open Source Framework for Statically Detecting Data Races. Correctness@SC 2021: 25-32
Informal and Other Publications
- 2023
- [i2]Sumukh Vasisht Shankar, Evangelos K. Oikonomou, Rohan Khera:
CarDS-Plus ECG Platform: Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms. CoRR abs/2310.07000 (2023) - 2022
- [i1]Gregory Holste, Evangelos K. Oikonomou, Bobak Mortazavi, Zhangyang Wang, Rohan Khera:
Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis. CoRR abs/2207.11581 (2022)
Coauthor Index
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