Julián Betancur

Safran (France) — France

Medicine · Health Sciences

16h-index2.0kcitations53works1.02yr avg
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Research Topics

Cardiac Imaging and Diagnostics(29), Advanced MRI Techniques and Applications(14), Advanced X-ray and CT Imaging(14), Cardiac pacing and defibrillation studies(8), Cardiovascular Function and Risk Factors(6)

Publications52 total

Model-based dimensional NDE from few X-ray radiographs: Application to the evaluation of wall thickness in metallic turbine blades
Precision Engineering·2024· 1 citedOpen Access
Exploring the Use of Digital Twin in Smart Healthcare: A Case Study of Dengue Epidemic Control and Prevention
Lecture notes in networks and systems·2023· 3 cited
CAD-based x-ray CT calibration and error compensation
Measurement Science and Technology·2022· 9 citedOpen Access
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT
Journal of Nuclear Cardiology·2021· 38 citedOpen Access
Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths
JACC. Cardiovascular imaging·2020· 106 citedOpen Access
29Prognostic safety of automatic cancellation of rest myocardial perfusion scan by machine learning: a report from multicenter REFINE SPECT registry of new generation SPECT
European Heart Journal·2019· 1 cited
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
European Heart Journal - Cardiovascular Imaging·2019· 97 citedOpen Access
Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry
European Heart Journal - Cardiovascular Imaging·2019· 35 citedOpen Access
5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects
JACC. Cardiovascular imaging·2019· 92 citedOpen Access
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry
Journal of Nuclear Cardiology·2019· 25 citedOpen Access
TRANSIENT ISCHEMIC DILATATION IS INDEPENDENTLY ASSOCIATED WITH INCREASED CARDIOVASCULAR EVENTS IN PATIENTS WITHOUT ISCHEMIA: ANALYSIS OF THE REFINE REGISTRY
Journal of the American College of Cardiology·2019
PREDICTING MAJOR ADVERSE CARDIAC EVENTS WITH COX NEURAL NETWORKS: RESULTS FROM THE REFINE SPECT REGISTRY
Journal of the American College of Cardiology·2019· 2 cited
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
Journal of Nuclear Medicine·2018· 150 citedOpen Access
P4597Benefit of medical therapy versus revascularization in patients with stress myocardial perfusion single photon emission computed tomography: results from a large international registry
European Heart Journal·2018Open Access
Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)
Journal of Nuclear Cardiology·2018· 109 citedOpen Access
The Diagnostic Accuracy of Machine Learning From Stress Only fast-MPS
2018· 1 cited
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT
JACC. Cardiovascular imaging·2018· 339 cited
MACHINE LEARNING IN PREDICTING CORONARY HEART DISEASE AND CARDIOVASCULAR DISEASE EVENTS: RESULTS FROM THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA)
Journal of the American College of Cardiology·2018· 25 cited
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT
IEEE Transactions on Medical Imaging·2018· 193 citedOpen Access
Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study
European Radiology·2018· 165 citedOpen Access
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Frequent Co-authors

Daniel S. Berman(22), Piotr J. Slomka(22), Damini Dey(18), Tali Sharir(14), Guido Germano(14), Yuka Otaki(14), Terrence D. Ruddy(13), Philipp A. Kaufmann(13), Sharmila Dorbala(13), Balaji Tamarappoo(13), Andrew J. Einstein(12), Marcelo F. Di Carli(12), Mireille Garreau(12), Mathews B. Fish(11), Albert J. Sinusas(11), Edward J. Miller(11), Timothy M. Bateman(11), Heidi Gransar(11), Lien-Hsin Hu(10), Antoine Simon(10)