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Frederic Commandeur

Showing results (1-10 of 21) with videos related to

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Circulation. Cardiovascular Imaging|December 14, 2017
Radiomics to Identify High-Risk Atherosclerotic Plaque From Computed Tomography: The Power of QuantificationDamini Dey, Frederic Commandeur
Current Cardiovascular Imaging Reports|October 29, 2019
Cardiac CT: Technological Advances in Hardware, Software, and Machine Learning ApplicationsFrederic Commandeur, Markus Goeller, Damini Dey
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findingsFrederic Commandeur, Oscar Acosta, Antoine Simon, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registrationLina Guzman, Frederic Commandeur, Oscar Acosta, et al.
Medical Image Analysis|March 27, 2017
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapyRichard Rios, Renaud De Crevoisier, Juan D Ospina, et al.
IEEE Journal of Biomedical and Health Informatics|June 23, 2016
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam RadiotherapyFrederic Commandeur, Antoine Simon, Romain Mathieu, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CTFrederic Commandeur, Markus Goeller, Julian Betancur, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 26, 2019
Deep learning-based stenosis quantification from coronary CT AngiographyYoungtaek Hong, Frederic Commandeur, Sebastien Cadet, et al.
JAMA Cardiology|July 21, 2018
Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery DiseaseMarkus Goeller, Stephan Achenbach, Sebastien Cadet, et al.
Radiology. Artificial Intelligence|February 25, 2020
Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter StudyFrederic Commandeur, Markus Goeller, Aryabod Razipour, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Circulation. Cardiovascular Imaging|December 14, 2017
Radiomics to Identify High-Risk Atherosclerotic Plaque From Computed Tomography: The Power of QuantificationDamini Dey, Frederic Commandeur
Current Cardiovascular Imaging Reports|October 29, 2019
Cardiac CT: Technological Advances in Hardware, Software, and Machine Learning ApplicationsFrederic Commandeur, Markus Goeller, Damini Dey
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Prostate whole-mount histology reconstruction and registration to MRI for correlating in-vivo observations with biological findingsFrederic Commandeur, Oscar Acosta, Antoine Simon, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Slice correspondence estimation using SURF descriptors and context-based search for prostate whole-mount histology MRI registrationLina Guzman, Frederic Commandeur, Oscar Acosta, et al.
Medical Image Analysis|March 27, 2017
Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapyRichard Rios, Renaud De Crevoisier, Juan D Ospina, et al.
IEEE Journal of Biomedical and Health Informatics|June 23, 2016
MRI to CT Prostate Registration for Improved Targeting in Cancer External Beam RadiotherapyFrederic Commandeur, Antoine Simon, Romain Mathieu, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CTFrederic Commandeur, Markus Goeller, Julian Betancur, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 26, 2019
Deep learning-based stenosis quantification from coronary CT AngiographyYoungtaek Hong, Frederic Commandeur, Sebastien Cadet, et al.
JAMA Cardiology|July 21, 2018
Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery DiseaseMarkus Goeller, Stephan Achenbach, Sebastien Cadet, et al.
Radiology. Artificial Intelligence|February 25, 2020
Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter StudyFrederic Commandeur, Markus Goeller, Aryabod Razipour, et al.
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