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Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 16, 2023
Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trialKeiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, et al.JACC. Cardiovascular Imaging|March 19, 2018
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter StudyJulian Betancur, Frederic Commandeur, Mahsaw Motlagh, 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.Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 20, 2025
Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion ImagingRobert J H Miller, Paul Kavanagh, Mark Lemley, et al.Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|March 13, 2021
Quantitation of Poststress Change in Ventricular Morphology Improves Risk StratificationRobert J H Miller, Tali Sharir, Yuka Otaki, et al.The Journal of Thoracic and Cardiovascular Surgery|August 26, 2014
Myocardial viability and impact of surgical ventricular reconstruction on outcomes of patients with severe left ventricular dysfunction undergoing coronary artery bypass surgery: results of the Surgical Treatment for Ischemic Heart Failure trialThomas A Holly, Robert O Bonow, J Malcolm O Arnold, et al.Circulation. Cardiovascular Quality and Outcomes|December 25, 2009
Quantitative results of baseline angiography and percutaneous coronary intervention in the COURAGE trialG B John Mancini, Eric R Bates, David J Maron, et al.Circulation. Cardiovascular Imaging|October 17, 2022
Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood FlowAndrew Lin, Pepijn A van Diemen, Manish Motwani, et al.European Heart Journal. Cardiovascular Imaging|April 5, 2024
Interaction between risk factors, coronary calcium, and CCTA plaque characteristics in patients aged 18-45 yearsDaniel Lorenzatti, Pamela Piña, Dou Huang, et al.JACC. Cardiovascular Imaging|August 8, 2025
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter StudyAakash D Shanbhag, Robert J H Miller, Mark Lemley, et al.Pageof 91