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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.Circulation. Cardiovascular Imaging|July 20, 2021
Prognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT RegistryKeiichiro Kuronuma, Robert J H Miller, Yuka Otaki, 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.JACC. Cardiovascular Imaging|October 13, 2014
Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 StudySergey V Nesterov, Emmanuel Deshayes, Roberto Sciagrà, et al.Medrxiv : the Preprint Server for Health Sciences|June 30, 2025
AI-based identification of patients who benefit from revascularization: a multicenter studyWenhao Zhang, Robert Jh Miller, Krishna Patel, et al.Journal of the American College of Cardiology|August 20, 2013
Anatomic versus physiologic assessment of coronary artery disease. Role of coronary flow reserve, fractional flow reserve, and positron emission tomography imaging in revascularization decision-makingK Lance Gould, Nils P Johnson, Timothy M Bateman, et al.JACC. Cardiovascular Imaging|June 14, 2014
Comparative definitions for moderate-severe ischemia in stress nuclear, echocardiography, and magnetic resonance imagingLeslee J Shaw, Daniel S Berman, Michael H Picard, et al.Pageof 12