Bryan He

According to our database, Bryan He authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models.

Magnus Ruud Kjær, Rahul Thapa, Gauri Ganjoo, Hyatt Moore IV, Poul Jørgen Jennum, M. Brandon Westover, James Zou, Emmanuel Mignot, Bryan He, Andreas Brink-Kjaer

CoRR, December, 2025

Automated Interpretable 2D Video Extraction from 3D Echocardiography.

Milos Vukadinovic, Hirotaka Ieki, Yuki Sahashi, David Ouyang, Bryan He

CoRR, November, 2025

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, Ye Wu, Jordan Kojouharov, Gargi Singh, Jon Lemon, Tyler Willis, Milos Vukadinovic, Grant Duffy, Bryan He, David Ouyang, Marco Pereanez, Daniel D. Samber, Derek A. Smith, Christopher Cannistraci, Zahi Fayad, David S. Mendelson, Michele Bufano, Elmar Kotter, Hamideh Haghiri, Rajesh Baidya, Stefan Dvoretskii, Klaus H. Maier-Hein, Marco Nolden, Christopher Ablett, Silvia Siggillino, Sandeep Kaushik, Hongzhu Jiang, Sihan Xie, Zhiyu Wan, Alex Michie, Simon J. Doran, Angeline Aurelia Waly, Felix A. Nathaniel Liang, Humam Arshad Mustagfirin, Michelle Grace Felicia, Kuo Po Chih, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Nikolas Koutsoubis, Kyle Naddeo, Kartik Pandit, Tony O'Sullivan, Raj Krish, Qinyan Pan, Scott Gustafson, Benjamin Kopchick, Laura Opsahl-Ong, Andrea Olvera-Morales, Jonathan Pinney, Kathryn Johnson, Theresa Do, Juergen Klenk, Maria Diaz, Arti Singh, Rong Chai, David A. Clunie, Fred W. Prior, Keyvan Farahani

CoRR, July, 2025

How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?

Rahul Thapa, Andrew Li, Qingyang Wu, Bryan He, Yuki Sahashi, Christina Binder, Angela Zhang, Ben Athiwaratkun, Shuaiwen Leon Song, David Ouyang, James Zou

CoRR, April, 2025

EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound Noise.

David Choi, Milos Vukadinovic, Bryan He, Christina Binder, Yuki Sahashi, David Ouyang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation.

Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul P. Cheng, Debiao Li, Susan Cheng, Bryan He, David Ouyang

CoRR, 2024

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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 Discovery of Demographic Biomarkers in Echocardiography.

Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang

CoRR, 2022

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, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco V. Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert

CoRR, 2022

2021

CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq.

Bryan He, Matthew Thomson, Meena Subramaniam, Richard Perez, Chun Jimmie Ye, James Zou

CoRR, 2021

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, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang

CoRR, 2021

2020

Deep learning interpretation of echocardiograms.

Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou

npj Digit. Medicine, 2020

Video-based AI for beat-to-beat assessment of cardiac function.

David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou

Nat., 2020

2019

Diversity Breeds Innovation With Discounted Impact and Recognition.

Bas Hofstra, Sebastian Munoz-Najar Galvez, Bryan He, Vivek V. Kulkarni, Daniel A. McFarland

CoRR, 2019

2018

Minimizing Close-k Aggregate Loss Improves Classification.

Bryan He, James Zou

CoRR, 2018