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Markus Goeller

Showing results (11-20 of 31) with videos related to

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The American Journal of Cardiology|July 29, 2019
Comparison of Coronary Atherosclerotic Plaque Burden and Composition as Assessed on Coronary Computed Tomography Angiography in East Asian and European-Origin CaucasiansAbdul Rahman Ihdayhid, Markus Goeller, Damini Dey, 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.
Journal of Cardiovascular Computed Tomography|May 23, 2018
Non-invasive fractional flow reserve in vessels without severe obstructive stenosis is associated with coronary plaque burdenMhairi K Doris, Yuka Otaki, Yoav Arnson, et al.
Frontiers in Cardiovascular Medicine|June 8, 2023
Computed tomography-based pericoronary adipose tissue attenuation in patients undergoing TAVR: a novel method for risk assessmentAlexandra Steyer, Silvia Mas-Peiro, David M Leistner, et al.
European Radiology|March 28, 2019
Carotid plaque composition by CT angiography in asymptomatic subjects: a head-to-head comparison to ultrasoundRamshanker Ramanathan, Damini Dey, Bjarne L Nørgaard, 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.
Journal of Cardiovascular Computed Tomography|October 12, 2020
Ethnic differences in coronary anatomy, left ventricular mass and CT-derived fractional flow reserveAbdul Rahman Ihdayhid, Udit Thakur, Grace Yap, 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.
JACC. Cardiovascular Imaging|May 5, 2022
Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography AngiographyAndrew Lin, Márton Kolossváry, Sebastien Cadet, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
The American Journal of Cardiology|July 29, 2019
Comparison of Coronary Atherosclerotic Plaque Burden and Composition as Assessed on Coronary Computed Tomography Angiography in East Asian and European-Origin CaucasiansAbdul Rahman Ihdayhid, Markus Goeller, Damini Dey, 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.
Journal of Cardiovascular Computed Tomography|May 23, 2018
Non-invasive fractional flow reserve in vessels without severe obstructive stenosis is associated with coronary plaque burdenMhairi K Doris, Yuka Otaki, Yoav Arnson, et al.
Frontiers in Cardiovascular Medicine|June 8, 2023
Computed tomography-based pericoronary adipose tissue attenuation in patients undergoing TAVR: a novel method for risk assessmentAlexandra Steyer, Silvia Mas-Peiro, David M Leistner, et al.
European Radiology|March 28, 2019
Carotid plaque composition by CT angiography in asymptomatic subjects: a head-to-head comparison to ultrasoundRamshanker Ramanathan, Damini Dey, Bjarne L Nørgaard, 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.
Journal of Cardiovascular Computed Tomography|October 12, 2020
Ethnic differences in coronary anatomy, left ventricular mass and CT-derived fractional flow reserveAbdul Rahman Ihdayhid, Udit Thakur, Grace Yap, 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.
JACC. Cardiovascular Imaging|May 5, 2022
Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography AngiographyAndrew Lin, Márton Kolossváry, Sebastien Cadet, et al.
Pageof 4