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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.
European Journal of Nuclear Medicine and Molecular Imaging|October 27, 2025
Risk stratification with pre-operative myocardial perfusion imagingDayoung Kim, Valerie Builoff, Tali Sharir, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 29, 2018
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter StudyJulian Betancur, Lien-Hsin Hu, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging|June 14, 2020
Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECTLien-Hsin Hu, Robert J H Miller, Tali Sharir, 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.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|November 10, 2021
Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT RegistryDonghee Han, Alan Rozanski, Heidi Gransar, et al.
The Canadian Journal of Cardiology|May 14, 2025
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion ImagingKaiming Wang, Tali Sharir, M Timothy Hauser, et al.
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