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Sebastien Cadet

Showing results (41-50 of 67) with videos related to

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Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|January 18, 2024
Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis T<sub>1</sub>-weighted characterization to predict periprocedural myocardial injuryMotoki Nakazawa, Hidenari Matsumoto, Debiao Li, et al.
European Heart Journal. Cardiovascular Imaging|April 17, 2025
Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to noninvasively predict periprocedural myocardial injuryHidenari Matsumoto, Satoshi Higuchi, Debiao Li, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 24, 2021
Machine Learning with <sup>18</sup>F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial InfarctionJacek Kwiecinski, Evangelos Tzolos, Mohammed N Meah, et al.
European Heart Journal. Cardiovascular Imaging|February 22, 2019
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiographyMarkus Goeller, Balaji K Tamarappoo, Alan C Kwan, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International RegistryKajetan Grodecki, Andrew Lin, Sebastien Cadet, et al.
Metabolism: Clinical and Experimental|November 22, 2020
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19Kajetan Grodecki, Andrew Lin, Aryabod Razipour, et al.
Atherosclerosis|November 26, 2020
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective studyBalaji K Tamarappoo, Andrew Lin, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging|November 28, 2020
Non-calcific aortic tissue quantified from computed tomography angiography improves diagnosis and prognostication of patients referred for transcatheter aortic valve implantationKajetan Grodecki, Balaji K Tamarappoo, Zenon Huczek, et al.
Journal of Cardiovascular Computed Tomography|January 20, 2023
Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserveDonghee Han, Pepijn van Diemen, Keiichiro Kuronuma, et al.
JACC. Cardiovascular Imaging|February 18, 2019
Peri-Coronary Adipose Tissue Density Is Associated With <sup>18</sup>F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk PlaquesJacek Kwiecinski, Damini Dey, Sebastien Cadet, et al.
Pageof 7

Showing results (41-50 of 67) with videos related to

Sort By:
Pageof 7
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|January 18, 2024
Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis T<sub>1</sub>-weighted characterization to predict periprocedural myocardial injuryMotoki Nakazawa, Hidenari Matsumoto, Debiao Li, et al.
European Heart Journal. Cardiovascular Imaging|April 17, 2025
Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to noninvasively predict periprocedural myocardial injuryHidenari Matsumoto, Satoshi Higuchi, Debiao Li, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 24, 2021
Machine Learning with <sup>18</sup>F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial InfarctionJacek Kwiecinski, Evangelos Tzolos, Mohammed N Meah, et al.
European Heart Journal. Cardiovascular Imaging|February 22, 2019
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiographyMarkus Goeller, Balaji K Tamarappoo, Alan C Kwan, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International RegistryKajetan Grodecki, Andrew Lin, Sebastien Cadet, et al.
Metabolism: Clinical and Experimental|November 22, 2020
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19Kajetan Grodecki, Andrew Lin, Aryabod Razipour, et al.
Atherosclerosis|November 26, 2020
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective studyBalaji K Tamarappoo, Andrew Lin, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging|November 28, 2020
Non-calcific aortic tissue quantified from computed tomography angiography improves diagnosis and prognostication of patients referred for transcatheter aortic valve implantationKajetan Grodecki, Balaji K Tamarappoo, Zenon Huczek, et al.
Journal of Cardiovascular Computed Tomography|January 20, 2023
Sex differences in computed tomography angiography-derived coronary plaque burden in relation to invasive fractional flow reserveDonghee Han, Pepijn van Diemen, Keiichiro Kuronuma, et al.
JACC. Cardiovascular Imaging|February 18, 2019
Peri-Coronary Adipose Tissue Density Is Associated With <sup>18</sup>F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk PlaquesJacek Kwiecinski, Damini Dey, Sebastien Cadet, et al.
Pageof 7