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Found 3 papers, 1 papers with code
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
The introduced method takes advantage of the periodic nature of the heart cycle to learn three variants of a variational latent trajectory model (TVAE).
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms
To the best of our knowledge, this is the first work for an automated assessment of PH in newborns using echocardiograms.
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
The segmentation of the mitral valve annulus and leaflets specifies a crucial first step to establish a machine learning pipeline that can support physicians in performing multiple tasks, e. g.\ diagnosis of mitral valve diseases, surgical planning, and intraoperative procedures.
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