Learning structure-function interactions of the heart using generative deep learning methods

<p>Cardiovascular diseases account for the highest number of annual deaths worldwide, a burden exacerbated by current limitations in disease understanding. Accurate clinical outcome prediction is key for reducing these fatalities. However, high phenotype heterogeneity of diseases like hypertro...

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Bibliographic Details
Main Author: Ossenberg-Engels, J
Other Authors: Grau Colomer, V
Format: Thesis
Language:English
Published: 2021
Subjects:

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