F
Frederic Commandeur
Researcher at Cedars-Sinai Medical Center
Publications - 34
Citations - 1621
Frederic Commandeur is an academic researcher from Cedars-Sinai Medical Center. The author has contributed to research in topics: Coronary artery disease & Myocardial perfusion imaging. The author has an hindex of 15, co-authored 34 publications receiving 922 citations. Previous affiliations of Frederic Commandeur include University of Rennes & French Institute of Health and Medical Research.
Papers
More filters
Journal ArticleDOI
Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study
Julian Betancur,Frederic Commandeur,Mahsaw Motlagh,Tali Sharir,Andrew J. Einstein,Sabahat Bokhari,Mathews B. Fish,Terrence D. Ruddy,Philipp A. Kaufmann,Albert J. Sinusas,Edward J. Miller,Timothy M. Bateman,Sharmila Dorbala,Marcelo F. Di Carli,Guido Germano,Yuka Otaki,Balaji Tamarappoo,Damini Dey,Daniel S. Berman,Piotr J. Slomka +19 more
TL;DR: Deep learning has the potential to improve automatic interpretation of MPI as compared with current clinical methods and is evaluated for prediction of obstructive stenosis in a stratified 10-fold cross-validation procedure.
Journal ArticleDOI
Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease
Markus Goeller,Markus Goeller,Stephan Achenbach,Sebastien Cadet,Alan C. Kwan,Frederic Commandeur,Piotr J. Slomka,Heidi Gransar,Moritz H. Albrecht,Balaji Tamarappoo,Daniel S. Berman,Mohamed Marwan,Damini Dey +12 more
TL;DR: Combined quantitative high-risk plaque features and PCAT CT attenuation may allow for a more reliable identification of vulnerable plaques.
Journal ArticleDOI
Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects.
Markus Goeller,Markus Goeller,Stephan Achenbach,Mohamed Marwan,Mhairi Doris,Sebastien Cadet,Frederic Commandeur,Xi Chen,Piotr J. Slomka,Heidi Gransar,Jie Jane Cao,Nathan D. Wong,Moritz H. Albrecht,Alan Rozanski,Balaji Tamarappoo,Daniel S. Berman,Damini Dey +16 more
TL;DR: Lower EAT density and increased EAT volume were associated with coronary calcification, serum levels of plaque inflammatory markers and MACE, suggesting that dysfunctional EAT may be linked to early plaque formation and inflammation.
Journal ArticleDOI
Haralick textural features on T2‐weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer
K. Gnep,K. Gnep,A. Fargeas,A. Fargeas,R. E. Gutiérrez-Carvajal,R. E. Gutiérrez-Carvajal,Frederic Commandeur,Frederic Commandeur,Romain Mathieu,Romain Mathieu,Juan David Ospina,Juan David Ospina,Yan Rolland,Tanguy Rohou,Sébastien Vincendeau,Mathieu Hatt,Oscar Acosta,Oscar Acosta,Renaud de Crevoisier,Renaud de Crevoisier +19 more
TL;DR: To explore the association between magnetic resonance imaging (MRI), including Haralick textural features, and biochemical recurrence following prostate cancer radiotherapy, MRI is used as a surrogate for clinical radiotherapy.
Journal ArticleDOI
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT
Frederic Commandeur,Markus Goeller,Julian Betancur,Sebastien Cadet,Mhairi Doris,Xi Chen,Daniel S. Berman,Piotr J. Slomka,Balaji Tamarappoo,Damini Dey +9 more
TL;DR: A new fully automated deep learning framework for EAT and thoracic adipose tissue quantification from non-contrast coronary artery calcium computed tomography (CT) scans and may improve cardiovascular risk stratification in patients referred for routine CT calcium scans is proposed.