ESC 365 - Stratifying the prognostic capability of cardiovascular magnetic resonance in severe aortic stenosis: a machine learning approach

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Stratifying the prognostic capability of cardiovascular magnetic resonance in severe aortic stenosis: a machine learning approach

Session: Advancing Role of Cardiac Magnetic Resonance in Heart Valve Disease

Topic: Valvular Heart Disease

Speaker: Doctor S. Kwak (Seoul, KR)

Event: ESC Congress 2020

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Doctor Soongu Kwak

Seoul National University Hospital, Seoul (Korea (Republic of))

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2 more presentations in this session

Real-time cardiac magnetic resonance tissue characterisation for fibrosis assessment in aortic stenosis

Speaker: Doctor S. Backhaus (Bad Nauheim, DE)

Right ventricular longitudinal strain measured using feature-tracking cardiac magnetic resonance is an independent predictor of all cause mortality in patients with severe tricuspid regurgitation

Speaker: Doctor S. Romano (Verona, IT)

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Advancing Role of Cardiac Magnetic Resonance in Heart Valve Disease

Speakers: Doctor S. Kwak, Doctor S. Backhaus, Doctor S. Romano

About the event

ESC Congress 2020

29 August - 1 September 2020

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