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Jan Bogaert

Showing results (251-260 of 276) with videos related to

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Circulation|December 18, 2023
Reduced Ejection Fraction in Elite Endurance Athletes: Clinical and Genetic Overlap With Dilated CardiomyopathyGuido Claessen, Ruben De Bosscher, Kristel Janssens, et al.
JACC. Cardiovascular Imaging|August 22, 2017
Long-Term Incremental Prognostic Value of Cardiovascular Magnetic Resonance After ST-Segment Elevation Myocardial Infarction: A Study of the Collaborative Registry on CMR in STEMIRolf Symons, Gianluca Pontone, Juerg Schwitter, et al.
Nature Communications|July 16, 2025
Global alternatives of natural vegetation coverJean-François Bastin, Nicolas Latte, Jan Bogaert, et al.
European Heart Journal|March 4, 2011
A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extensionTessa S S Genders, Ewout W Steyerberg, Hatem Alkadhi, et al.
Radiology|September 13, 2022
Myocardial Fibrosis at Cardiac MRI Helps Predict Adverse Clinical Outcome in Patients with Mitral Valve ProlapseStefano Figliozzi, Georgios Georgiopoulos, Pedro M Lopes, et al.
Radiology|March 21, 2023
AI Cardiac MRI Scar Analysis Aids Prediction of Major Arrhythmic Events in the Multicenter DERIVATE RegistryFahime Ghanbari, Thomas Joyce, Valentina Lorenzoni, et al.
Radiology. Cardiothoracic Imaging|June 20, 2024
Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI RegistryRalph Kwame Akyea, Stefano Figliozzi, Pedro M Lopes, et al.
Journal of the American College of Cardiology|August 13, 2021
Clinical Risk Prediction in Patients With Left Ventricular Myocardial NoncompactionGuillem Casas, Javier Limeres, Gerard Oristrell, et al.
BMJ (Clinical Research Ed.)|June 14, 2012
Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohortsTessa S S Genders, Ewout W Steyerberg, M G Myriam Hunink, et al.
Methods in Ecology and Evolution|June 26, 2018
Field methods for sampling tree height for tropical forest biomass estimationMartin J P Sullivan, Simon L Lewis, Wannes Hubau, et al.
Pageof 28

Showing results (251-260 of 276) with videos related to

Sort By:
Pageof 28
Circulation|December 18, 2023
Reduced Ejection Fraction in Elite Endurance Athletes: Clinical and Genetic Overlap With Dilated CardiomyopathyGuido Claessen, Ruben De Bosscher, Kristel Janssens, et al.
JACC. Cardiovascular Imaging|August 22, 2017
Long-Term Incremental Prognostic Value of Cardiovascular Magnetic Resonance After ST-Segment Elevation Myocardial Infarction: A Study of the Collaborative Registry on CMR in STEMIRolf Symons, Gianluca Pontone, Juerg Schwitter, et al.
Nature Communications|July 16, 2025
Global alternatives of natural vegetation coverJean-François Bastin, Nicolas Latte, Jan Bogaert, et al.
European Heart Journal|March 4, 2011
A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extensionTessa S S Genders, Ewout W Steyerberg, Hatem Alkadhi, et al.
Radiology|September 13, 2022
Myocardial Fibrosis at Cardiac MRI Helps Predict Adverse Clinical Outcome in Patients with Mitral Valve ProlapseStefano Figliozzi, Georgios Georgiopoulos, Pedro M Lopes, et al.
Radiology|March 21, 2023
AI Cardiac MRI Scar Analysis Aids Prediction of Major Arrhythmic Events in the Multicenter DERIVATE RegistryFahime Ghanbari, Thomas Joyce, Valentina Lorenzoni, et al.
Radiology. Cardiothoracic Imaging|June 20, 2024
Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI RegistryRalph Kwame Akyea, Stefano Figliozzi, Pedro M Lopes, et al.
Journal of the American College of Cardiology|August 13, 2021
Clinical Risk Prediction in Patients With Left Ventricular Myocardial NoncompactionGuillem Casas, Javier Limeres, Gerard Oristrell, et al.
BMJ (Clinical Research Ed.)|June 14, 2012
Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohortsTessa S S Genders, Ewout W Steyerberg, M G Myriam Hunink, et al.
Methods in Ecology and Evolution|June 26, 2018
Field methods for sampling tree height for tropical forest biomass estimationMartin J P Sullivan, Simon L Lewis, Wannes Hubau, et al.
Pageof 28