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Erik Schelbert

Showing results (11-20 of 16) with videos related to

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European Journal of Heart Failure|March 1, 2014
Incident heart failure in relation to vascular disease: insights from the Health, Aging, and Body Composition StudyHassan Khan, Andreas P Kalogeropoulos, Faiez Zannad, et al.
Circulation|November 12, 2025
Quantitative Identification of High-Risk Tricuspid Regurgitation by Cardiac Magnetic ResonanceDavide Margonato, Maurice Enriquez-Sarano, Takahiro Nishihara, et al.
American Heart Journal|March 3, 2015
Improving cardiovascular clinical trials conduct in the United States: recommendation from clinicians, researchers, sponsors, and regulatorsJaved Butler, Gregg C Fonarow, Christopher O'Connor, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|March 11, 2022
Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learningRhodri H Davies, João B Augusto, Anish Bhuva, et al.
European Heart Journal. Cardiovascular Imaging|January 22, 2026
Reappraising cardiac function with myocardial contraction fraction: normal values, disease detection and prognosticationHibba Kurdi, George Thornton, Hunain Shiwani, et al.
The Lancet. Digital Health|March 18, 2021
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performanceJoão B Augusto, Rhodri H Davies, Anish N Bhuva, et al.
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Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
European Journal of Heart Failure|March 1, 2014
Incident heart failure in relation to vascular disease: insights from the Health, Aging, and Body Composition StudyHassan Khan, Andreas P Kalogeropoulos, Faiez Zannad, et al.
Circulation|November 12, 2025
Quantitative Identification of High-Risk Tricuspid Regurgitation by Cardiac Magnetic ResonanceDavide Margonato, Maurice Enriquez-Sarano, Takahiro Nishihara, et al.
American Heart Journal|March 3, 2015
Improving cardiovascular clinical trials conduct in the United States: recommendation from clinicians, researchers, sponsors, and regulatorsJaved Butler, Gregg C Fonarow, Christopher O'Connor, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|March 11, 2022
Precision measurement of cardiac structure and function in cardiovascular magnetic resonance using machine learningRhodri H Davies, João B Augusto, Anish Bhuva, et al.
European Heart Journal. Cardiovascular Imaging|January 22, 2026
Reappraising cardiac function with myocardial contraction fraction: normal values, disease detection and prognosticationHibba Kurdi, George Thornton, Hunain Shiwani, et al.
The Lancet. Digital Health|March 18, 2021
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performanceJoão B Augusto, Rhodri H Davies, Anish N Bhuva, et al.
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