Frédéric Commandeur

2.7k citations

33 papers · 1.7k indexed · h-index 17

Health Informatics top 1%
Radiology, Nuclear Medicine and Imaging top 1%
- Cardiac Imaging and Diagnostics 15
Cardiology and Cardiovascular Medicine top 2%
- Cardiovascular Disease and Adiposity 14
Health Information Management top 2%
Surgery top 10%
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 5
Biomedical Engineering
- Advanced X-ray and CT Imaging 6
- Medical Imaging and Analysis 4
Pulmonary and Respiratory Medicine
- Prostate Cancer Diagnosis and Treatment 6
Computer Vision and Pattern Recognition
- Medical Image Segmentation Techniques 5
Radiation
- Advanced Radiotherapy Techniques 4

Co-authors: Damini Dey Piotr J. Slomka Daniel S. Berman Balaji Tamarappoo Markus Goeller Sebastien CadetXi ChenStephan Achenbach
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Cardiology and Cardiovascular Medicine
Journals: Journal of cardiovascular computed tomography (3 papers)European Heart Journal (3 papers)European Heart Journal - Cardiovascular Imaging (2 papers)
Partner nations: United States Germany France

In The Last Decade

Frédéric Commandeur

33 papers receiving 1.7k citations

Peers

Countries citing papers authored by Frédéric Commandeur

Since Specialization

Citations

This map shows the geographic impact of Frédéric Commandeur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frédéric Commandeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Commandeur more than expected).

Fields of papers citing papers by Frédéric Commandeur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Commandeur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frédéric Commandeur. The network helps show where Frédéric Commandeur may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Frédéric Commandeur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Commandeur Line = papers co-authored together Frédéric Commandeur links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study Cardiovascular Diabetology ·Andrew Lin,Nathan D. Wong,Aryabod Razipour,Priscilla McElhinney,Frédéric Commandeur,Sebastien Cadet,Heidi Gransar,Xi Chen,Stephanie Cantu,Robert J.H. Miller,Nitesh Nerlekar,Dennis T. L. Wong,Piotr J. Slomka,Alan Rozanski,Balaji Tamarappoo,Daniel S. Berman,Damini Dey	2021	40
2	Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT European Heart Journal - Cardiovascular Imaging ·Lien-Hsin Hu,Robert J.H. Miller,Tali Sharir,Frédéric Commandeur,Wareeya Vongswanich,Andrew J. Einstein,Mathews B. Fish,Terrence D. Ruddy,Philipp A. Kaufmann,Albert J. Sinusas,Edward J. Miller,Timothy M. Bateman,Sharmila Dorbala,Marcelo F. Di Carli,Joanna X. Liang,Evann Eisenberg,Damini Dey,Daniel S. Berman,Piotr J. Slomka	2020	36
3	Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study Atherosclerosis ·Balaji Tamarappoo,Andrew Lin,Frédéric Commandeur,Priscilla McElhinney,Sebastien Cadet,Markus Goeller,Aryabod Razipour,Xi Chen,Heidi Gransar,Stephanie Cantu,Robert J.H. Miller,Stephan Achenbach,John D. Friedman,Sean W. Hayes,Louise Thomson,Nathan D. Wong,Alan Rozanski,Piotr J. Slomka,Daniel S. Berman,Damini Dey	2020	40
4	Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study Radiology Artificial Intelligence ·Frédéric Commandeur,Markus Goeller,Aryabod Razipour,Sebastien Cadet,Michaela M. Hell,Jacek Kwieciński,Xi Chen,Hyuk‐Jae Chang,Mohamed Marwan,Stephan Achenbach,Daniel S. Berman,Piotr J. Slomka,Balaji Tamarappoo,Damini Dey	2019	94
5	Deep learning-based stenosis quantification from coronary CT angiography PubMed ·Youngtaek Hong,Frédéric Commandeur,Sebastien Cadet,Markus Goeller,Mhairi Doris,Xi Chen,Jacek Kwieciński,Daniel S. Berman,Piotr J. Slomka,Hyuk‐Jae Chang,Damini Dey	2019	42
6	30Machine 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 study European Heart Journal ·Frédéric Commandeur,Piotr J. Slomka,Markus Goeller,Xi Chen,Halissa Reis,Aryabod Razipour,Heidi Gransar,Stephanie Cantu,Robert J.H. Miller,Alan Rozanski,Poisy Tava Kae,Balaji Tamarappoo,Daniel S. Berman,Damini Dey	2019	15
7	Abstract 15929: Relationship Between Changes in Pericoronary Adipose Tissue Attenuation and Plaque Progression by Coronary CTA Circulation ·Markus Goeller,Balaji Tamarappoo,Alan C. Kwan,Yuka Otaki,Sebastien Cadet,Frédéric Commandeur,Piotr J. Slomka,Xi Chen,Heidi Gransar,Moritz H. Albrecht,Daniel S. Berman,Mohamed Marwan,Stephan Achenbach,Damini Dey	2018	1
8	Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT JACC. Cardiovascular imaging ·Julián Betancur,Frédéric Commandeur,Daniela Arias-Blanco,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	2018	224
9	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 ·Julián Betancur,Lien-Hsin Hu,Frédéric Commandeur,Tali Sharir,Andrew J. Einstein,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,Joanna X. Liang,Balaji Tamarappoo,Damini Dey,Daniel S. Berman,Piotr J. Slomka	2018	95
10	Cardiac CT: Technological Advances in Hardware, Software, and Machine Learning Applications Current Cardiovascular Imaging Reports ·Frédéric Commandeur,Markus Goeller,Damini Dey	2018	12
11	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 ·Rine Nakanishi,Damini Dey,Frédéric Commandeur,Piotr J. Slomka,Julián Betancur,Heidi Gransar,Christopher Dailing,Kazuhiro Osawa,Daniel S. Berman,Matthew J. Budoff	2018	19
12	Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT IEEE Transactions on Medical Imaging ·Frédéric Commandeur,Markus Goeller,Julián Betancur,Sebastien Cadet,Mhairi Doris,Xi Chen,Daniel S. Berman,Piotr J. Slomka,Balaji Tamarappoo,Damini Dey	2018	134
13	Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy Medical Image Analysis ·Wareeya Vongswanich,R. de Crevoisier,Juan David Ospina,Frédéric Commandeur,C. Lafond,Antoine Simon,Pascal Haigron,Jairo Espinosa,Oscar Acosta	2017	17
14	Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects Journal of cardiovascular computed tomography ·Markus Goeller,Stephan Achenbach,Mohamed Marwan,Mhairi Doris,Sebastien Cadet,Frédéric Commandeur,Xi Chen,Piotr J. Slomka,Heidi Gransar,Jie Cao,Nathan D. Wong,Moritz H. Albrecht,Alan Rozanski,Balaji Tamarappoo,Daniel S. Berman,Damini Dey	2017	166
15	Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registration PubMed ·Lina Guzman,Frédéric Commandeur,Oscar Acosta,D.A. Badve,Alain Fautrel,(unknown),Michalis Moutsos,Romain Mathiéu,R. de Crevoisier	2016	4
16	Segmentation of prostate from CT scans using a combined voxel random forests classification with spherical harmonics regularization Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Frédéric Commandeur,Oscar Acosta,Antoine Simon,WATARU IMABAYASHI,Jean‐Louis Dillenseger,Romain Mathiéu,Pascal Haigron,R. de Crevoisier	2015	1
17	Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findings PubMed ·Frédéric Commandeur,Oscar Acosta,Antoine Simon,Romain Mathiéu,Alain Fautrel,K. Gnep,Pascal Haigron,R. de Crevoisier	2015	9
18	Radiothérapie conformationnelle prostatique : quelles marges ? Cancer/Radiothérapie ·Jonathan Khalifa,Frédéric Commandeur,Jean‐Marc Bachaud,R. de Crevoisier	2013	9
19	A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy Lecture notes in computer science ·Juan David Ospina,Frédéric Commandeur,Wareeya Vongswanich,John Blimke,Juan Carlos Correa,Antoine Simon,Pascal Haigron,R. de Crevoisier,Oscar Acosta	2013	4
20	A VTK Algorithm for the Computation of the Hausdorff Distance Frédéric Commandeur,I.Cobeta Marco,Oscar Acosta	2011	11

About Frédéric Commandeur

Frédéric Commandeur is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (15 papers), Cardiovascular Disease and Adiposity (14 papers), Advanced X-ray and CT Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Medical Image Segmentation Techniques (5 papers), Advanced Radiotherapy Techniques (4 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Health Informatics (99 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Frédéric Commandeur has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Damini Dey, Piotr J. Slomka, Daniel S. Berman, Balaji Tamarappoo, Markus Goeller, Sebastien Cadet, Xi Chen, Stephan Achenbach, Heidi Gransar and Mohamed Marwan. Their work appears in journals such as Journal of cardiovascular computed tomography, European Heart Journal, European Heart Journal - Cardiovascular Imaging, Radiology Artificial Intelligence and Circulation Cardiovascular Imaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact