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Julian Betancur

Cedars-Sinai Medical Center
French Institute of Health and Medical Research

41

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Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT.

2021 Journal of Nuclear Cardiology
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Citations (2)
Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths.

2020 Jacc-cardiovascular Imaging
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Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry

2019 Journal of Nuclear Cardiology
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29Prognostic safety of automatic cancellation of rest myocardial perfusion scan by machine learning: a report from multicenter REFINE SPECT registry of new generation SPECT

2019 European Heart Journal
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Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry

2019 European Journal of Echocardiography
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PREDICTING MAJOR ADVERSE CARDIAC EVENTS WITH COX NEURAL NETWORKS: RESULTS FROM THE REFINE SPECT REGISTRY

2019 Journal of the American College of Cardiology
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Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry.

2019 European Journal of Echocardiography
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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study

2018 European Radiology
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P4597Benefit of medical therapy versus revascularization in patients with stress myocardial perfusion single photon emission computed tomography: results from a large international registry

2018 European Heart Journal
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The Diagnostic Accuracy of Machine Learning From Stress Only fast-MPS

2018 The Journal of Nuclear Medicine
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