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Current Cardiovascular Risk Reports|June 13, 2022
Artificial Intelligence in Computer Vision: Cardiac MRI and Multimodality Imaging SegmentationAlan C Kwan, Gerran Salto, Susan Cheng, et al.
Circulation. Cardiovascular Imaging|February 20, 2024
Machine Learning and Bias in Medical Imaging: Opportunities and ChallengesAmey Vrudhula, Alan C Kwan, David Ouyang, et al.
Circulation|August 12, 2024
High-Throughput Deep Learning Detection of Mitral RegurgitationAmey Vrudhula, Grant Duffy, Milos Vukadinovic, et al.
Intelligence-Based Medicine|June 2, 2021
A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patientsJoseph Ebinger, Matthew Wells, David Ouyang, et al.
European Heart Journal. Digital Health|November 21, 2025
Automated evaluation for pericardial effusion and cardiac tamponade with echocardiographic artificial intelligenceI Min Chiu, Yuki Sahashi, Milos Vukadinovic, et al.
NPJ Digital Medicine|December 22, 2022
Confounders mediate AI prediction of demographics in medical imagingGrant Duffy, Shoa L Clarke, Matthew Christensen, et al.
Medrxiv : the Preprint Server for Health Sciences|December 9, 2024
Automated Evaluation for Pericardial Effusion and Cardiac Tamponade with Echocardiographic Artificial IntelligenceI-Min Chiu, Milos Vukadinovic, Yuki Sahashi, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|June 1, 2025
Using Deep Learning to Predict Cardiovascular Magnetic Resonance Findings From Echocardiographic VideosYuki Sahashi, Milos Vukadinovic, Grant Duffy, et al.
Frontiers in Cardiovascular Medicine|February 10, 2023
Sex differences in contributors to coronary microvascular dysfunctionAlan C Kwan, Janet Wei, David Ouyang, et al.
Medrxiv : the Preprint Server for Health Sciences|May 3, 2024
Using Deep learning to Predict Cardiovascular Magnetic Resonance Findings from Echocardiography VideosYuki Sahashi, Milos Vukadinovic, Grant Duffy, et al.
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