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Rohan Khera
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2020 – today
- 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
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
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
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
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
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. npj Digit. Medicine 6 (2023) - [c3]Lida Zhang, Rohan Khera, Bobak J. Mortazavi:
Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity. EMBC 2023: 1-4 - [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
- [j1]Rohan Khera
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digit. Medicine 5 (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) - 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
OpenRace: An Open Source Framework for Statically Detecting Data Races. Correctness@SC 2021: 25-32
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last updated on 2024-12-10 20:45 CET by the dblp team
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