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David Ouyang
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2020 – today
- 2024
- [j6]I-Min Chiu, Tien-Yu Chen, You-Cheng Zheng, Xin-Hong Lin, Fu-Jen Cheng, David Ouyang, Chi-Yung Cheng:
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms. npj Digit. Medicine 7(1) (2024) - [j5]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:
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation. npj Digit. Medicine 7(1) (2024) - [i6]Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa:
Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. CoRR abs/2403.00177 (2024) - [i5]Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul P. Cheng, Debiao Li, Susan Cheng, Bryan He, David Ouyang:
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation. CoRR abs/2410.09704 (2024) - 2023
- [j4]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:
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. npj Digit. Medicine 6 (2023) - [c1]Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang:
GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting. ML4H@NeurIPS 2023: 594-606 - [i4]Matthew Christensen, Milos Vukadinovic, Neal Yuan, David Ouyang:
Multimodal Foundation Models For Echocardiogram Interpretation. CoRR abs/2308.15670 (2023) - 2022
- [j3]Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang:
Confounders mediate AI prediction of demographics in medical imaging. npj Digit. Medicine 5 (2022) - [i3]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:
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality. CoRR abs/2205.03242 (2022) - [i2]Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang:
Deep Learning Discovery of Demographic Biomarkers in Echocardiography. CoRR abs/2207.06421 (2022) - 2021
- [i1]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:
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning. CoRR abs/2106.12511 (2021) - 2020
- [j2]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:
Video-based AI for beat-to-beat assessment of cardiac function. Nat. 580(7802): 252-256 (2020) - [j1]Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou:
Deep learning interpretation of echocardiograms. npj Digit. Medicine 3 (2020)
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