Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders

Understanding population-wide variability of the human heart is crucial to detect abnormalities and improve the assessment of both cardiac anatomy and function. While many computational modeling approaches have been developed to capture this variability separately for either cardiac anatomy or physi...

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Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 1 - 4
Hauptverfasser:	Beetz, Marcel, Banerjee, Abhirup, Sang, Yuling, Grau, Vicente
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.03.2022
Schlagworte:	3D Cardiac Anatomy Generation Biological system modeling Combined Anatomy and Electrophysiology Modeling ECG Synthesis Electrocardiography Geometric Deep Learning Measurement Multi-Modal VAE Physiology Point cloud compression Sociology Three-dimensional displays
ISSN:	1945-8452
Online-Zugang:	Volltext
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