Back

Deep learning-based quantification of epicardial adipose tissue volume in cardiac magnetic resonace predicts major adverse cardiovascular events in patients with known or suspected CAD

11 May 2023 (08:30 - 09:15)
Organised by:
Congress Presentation Part of: Coronary Artery Disease 4 Myocardial Disease EACVI Premium Access EACVI 2023

About the speaker

Photo
Doctor M Guglielmo

University Medical Center Utrecht, Utrecht (Netherlands (The))

7 More presentations in this session

Presentation thumbnail
Regional differences in the level of inflammation between right and left sided coronary arteries: a cardiac CT study of epicardial fat attenuation index
Doctor E. Blindu (Targu Mures, RO)
Abstract Slides
Presentation thumbnail
Stress computed tomography perfusion versus stress cardiac magnetic resonance for the management of suspected or known coronary artery disease: resources and outcomes impact (STRATEGY II Study)
Doctor A. Baggiano (Milan, IT)
Abstract Slides
Presentation thumbnail
Choosing between coronary CT angiography and functional tests in patients with suspected coronary artery disease - mind the (gender) gap
Miss M. Paiva (Lisbon, PT)
Abstract Slides
Presentation thumbnail
Coronary CT angiography a new promising tool in Heart transplanted patients: from clinical and economical benefits to coronary inflammation detection.
Doctor C. Dellino (Padova, IT)
Abstract Slides
Presentation thumbnail
Association between fractional flow reserve and CMR-derived exercise capacity
Doctor T. Le (Singapore, SG)
Abstract Slides

Access the full session

Session thumbnail
Coronary Artery Disease 4

The Event

Event poster

EACVI 2023

11 May 2023 08:30 CET
You may be interested in
thumbnail
Congress Session
Advanced imaging in heart failure
thumbnail
Congress Session
Ventricular arrhythmias and prevention of sudden cardiac death (1)
thumbnail
Webinar
The role of cardiac magnetic resonance for patients with ventricular arrhythmias and the prevention of sudden cardiac death in light of the 2022 ESC Guidelines

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources