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Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 6, 2021
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECTEvann Eisenberg, Robert J H Miller, Lien-Hsin Hu, et al.
Heart, Lung & Circulation|July 19, 2016
Nuclear Cardiology Practices and Radiation Exposure in the Oceania Region: Results From the IAEA Nuclear Cardiology Protocols Study (INCAPS)Sinjini Biswas, Nathan Better, Thomas N B Pascual, et al.
European Heart Journal|March 19, 2024
Deep learning to detect left ventricular structural abnormalities in chest X-raysShreyas Bhave, Victor Rodriguez, Timothy Poterucha, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|October 3, 2024
The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)Robert J H Miller, Mark Lemley, Aakash Shanbhag, 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.
Medrxiv : the Preprint Server for Health Sciences|July 9, 2025
Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET BiomarkersWenhao Zhang, Jacek Kwiecinski, Aakash Shanbhag, 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.
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