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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.
European Journal of Nuclear Medicine and Molecular Imaging|October 4, 2022
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT imagesRobert J H Miller, Ananya Singh, Yuka Otaki, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
JACC. Cardiovascular Imaging|August 24, 2020
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified IschemiaPeyman N Azadani, Robert J H Miller, Tali Sharir, et al.
JACC. Cardiovascular Imaging|March 7, 2023
Myocardial Perfusion PET for the Detection and Reporting of Coronary Microvascular Dysfunction: A JACC: Cardiovascular Imaging Expert Panel StatementThomas H Schindler, William F Fearon, Matthieu Pelletier-Galarneau, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|April 12, 2018
Correction to: Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNCVenkatesh L Murthy, Timothy M Bateman, Rob S Beanlands, 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.
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