A digital cardiac disease biomarker from a generative progressive cardiac cine?MRI representation

Cardiac cine-MRI is one of the most important diagnostic tools used to assess the morphology and physiology of the heart during the cardiac cycle. Nonetheless, the analysis on cardiac cine-MRI is poorly exploited and remains highly dependent on the observer"s expertise. This work introduces an imaging cardiac disease representation, coded as an embedding vec- tor, that fully exploits hidden mapping between the latent space and a generated cine-MRI data distribution...


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Año:     2022

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Revista:    Biomedical Engineering Letters

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