Artigos com autorizações de acesso público - Frédéric CommandeurSaiba mais
1 artigo não disponível publicamente
Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT
LH Hu, RJH Miller, T Sharir, F Commandeur, R Rios, AJ Einstein, MB Fish, ...
European Heart Journal-Cardiovascular Imaging 22 (6), 705-714, 2021
Autorizações: US National Institutes of Health
16 artigos disponíveis publicamente
Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: a multicenter study
J Betancur, F Commandeur, M Motlagh, T Sharir, AJ Einstein, S Bokhari, ...
JACC: Cardiovascular Imaging 11 (11), 1654-1663, 2018
Autorizações: US National Institutes of Health
Pericoronary adipose tissue computed tomography attenuation and high-risk plaque characteristics in acute coronary syndrome compared with stable coronary artery disease
M Goeller, S Achenbach, S Cadet, AC Kwan, F Commandeur, PJ Slomka, ...
JAMA cardiology 3 (9), 858-863, 2018
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects
M Goeller, S Achenbach, M Marwan, MK Doris, S Cadet, F Commandeur, ...
Journal of cardiovascular computed tomography 12 (1), 67-73, 2018
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Deep learning for quantification of epicardial and thoracic adipose tissue from non-contrast CT
F Commandeur, M Goeller, J Betancur, S Cadet, M Doris, X Chen, ...
IEEE transactions on medical imaging 37 (8), 1835-1846, 2018
Autorizações: US National Institutes of Health
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography
M Goeller, BK Tamarappoo, AC Kwan, S Cadet, F Commandeur, ...
European Heart Journal-Cardiovascular Imaging 20 (6), 636-643, 2019
Autorizações: US National Institutes of Health
Deep learning analysis of upright-supine high-efficiency SPECT myocardial perfusion imaging for prediction of obstructive coronary artery disease: a multicenter study
J Betancur, LH Hu, F Commandeur, T Sharir, AJ Einstein, MB Fish, ...
Journal of Nuclear Medicine 60 (5), 664-670, 2019
Autorizações: US National Institutes of Health
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective …
F Commandeur, PJ Slomka, M Goeller, X Chen, S Cadet, A Razipour, ...
Cardiovascular Research, 2019
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Fully automated CT quantification of epicardial adipose tissue by deep learning: a multicenter study
F Commandeur, M Goeller, A Razipour, S Cadet, MM Hell, J Kwiecinski, ...
Radiology: Artificial Intelligence 1 (6), e190045, 2019
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Deep learning–based quantification of epicardial adipose tissue volume and attenuation predicts major adverse cardiovascular events in asymptomatic subjects
E Eisenberg, PA McElhinney, F Commandeur, X Chen, S Cadet, ...
Circulation: Cardiovascular Imaging 13 (2), e009829, 2020
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
LH Hu, J Betancur, T Sharir, AJ Einstein, S Bokhari, MB Fish, TD Ruddy, ...
European Heart Journal-Cardiovascular Imaging 21 (5), 549-559, 2020
Autorizações: US National Institutes of Health
Deep learning-based stenosis quantification from coronary CT angiography
Y Hong, F Commandeur, S Cadet, M Goeller, MK Doris, X Chen, ...
Proceedings of Spie--the International Society for Optical Engineering 10949 …, 2019
Autorizações: US National Institutes of Health
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study
BK Tamarappoo, A Lin, F Commandeur, PA McElhinney, S Cadet, ...
Atherosclerosis 318, 76-82, 2021
Autorizações: US National Institutes of Health
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study
A Lin, ND Wong, A Razipour, PA McElhinney, F Commandeur, SJ Cadet, ...
Cardiovascular diabetology 20, 1-11, 2021
Autorizações: US National Institutes of Health
Cardiac CT: technological advances in hardware, software, and machine learning applications
F Commandeur, M Goeller, D Dey
Current cardiovascular imaging reports 11, 1-12, 2018
Autorizações: US National Institutes of Health, Federal Ministry of Education and Research …
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: a report from REFINE SPECT registry
LH Hu, T Sharir, RJH Miller, AJ Einstein, MB Fish, TD Ruddy, S Dorbala, ...
Journal of Nuclear Cardiology 27 (4), 1180-1189, 2020
Autorizações: US National Institutes of Health
Radiomics to identify high-risk atherosclerotic plaque from computed tomography: the power of quantification
D Dey, F Commandeur
Circulation: Cardiovascular Imaging 10 (12), e007254, 2017
Autorizações: US National Institutes of Health
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