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Nature Communications|March 30, 2024
Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomographyRobert J H Miller, Aditya Killekar, Aakash Shanbhag, et al.Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 7, 2022
Machine learning to predict abnormal myocardial perfusion from pre-test featuresRobert J H Miller, M Timothy Hauser, Tali Sharir, et al.European Journal of Nuclear Medicine and Molecular Imaging|April 17, 2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imagingMichelle C Williams, Bryan P Bednarski, Konrad Pieszko, et al.JACC. Cardiovascular Imaging|October 23, 2022
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep LearningAnanya Singh, Robert J H Miller, Yuka Otaki, et al.Ebiomedicine|January 3, 2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyRobert J H Miller, Bryan P Bednarski, Konrad Pieszko, et al.Pageof 2