High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning. - Grant Duffy; Paul P. Cheng; Neal Yuan; Bryan He; Alan C. Kwan; Matthew J. Shun-Shin; Kevin M. Alexander; Joseph Ebinger; Matthew P. Lungren; Florian Rader; David H. Liang; Ingela Schnittger; et al. (CoRR, 2021)

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality. - David Ouyang; John Theurer; Nathan R. Stein; J. Weston Hughes; Pierre A. Elias; Bryan He; Neal Yuan; Grant Duffy; Roopinder K. Sandhu; Joseph Ebinger; Patrick Botting; Melvin Jujjavarapu; et al. (CoRR, 2022)

Deep Learning Discovery of Demographic Biomarkers in Echocardiography. - Grant Duffy; Shoa L. Clarke; Matthew Christensen; Bryan He; Neal Yuan; Susan Cheng; David Ouyang (CoRR, 2022)

Confounders mediate AI prediction of demographics in medical imaging. - Grant Duffy; Shoa L. Clarke; Matthew Christensen; Bryan He; Neal Yuan; Susan Cheng; David Ouyang (npj Digit. Medicine, 2022)

Deep learning evaluation of echocardiograms to identify occult atrial fibrillation. - Neal Yuan; Nathan R. Stein; Grant Duffy; Roopinder K. Sandhu; Sumeet S. Chugh; Peng-Sheng Chen; Carine Rosenberg; Christine M. Albert; Susan Cheng; Robert J. Siegel; David Ouyang (npj Digit. Medicine, 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)