Interpretable cardiac anatomy modeling using variational mesh autoencoders

Interpretable cardiac anatomy modeling using variational mesh autoencoders

Cardiac anatomy and function vary considerably across the human population with important implications for clinical diagnosis and treatment planning. Consequently, many computer-based approaches have been developed to capture this variability for a wide range of applications, including explainable c...

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Bibliographic Details
Main Authors: Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, Vicente Grau
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
mesh VAE
3D ventricular shape analysis
virtual anatomy generation
clinical outcome prediction
acute myocardial infarction
major adverse cardiac events
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.983868/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2022.983868/full

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