David Ouyang

According to our database, David Ouyang authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

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

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction.

Anna M. Marcinkiewicz, Wenhao Zhang, Aakash D. Shanbhag, Robert J. H. Miller, Mark Lemley, Giselle Ramirez, Mikolaj Buchwald, Aditya Killekar, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, David Ouyang, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 2025

2024

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

Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms.

I-Min Chiu, Tien-Yu Chen, You-Cheng Zheng, Xin-Hong Lin, Fu-Jen Cheng, David Ouyang, Chi-Yung Cheng

npj Digit. Medicine, 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

Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning.

Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa

CoRR, 2024

Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning.

Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.

J. Weston Hughes, James E. Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert J. Rogers, Sanjiv M. Narayan, Pierre A. Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez

npj Digit. Medicine, 2023

Multimodal Foundation Models For Echocardiogram Interpretation.

Matthew Christensen, Milos Vukadinovic, Neal Yuan, David Ouyang

CoRR, 2023

GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting.

Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang

Proceedings of the Machine Learning for Health, 2023

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

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