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Found 5 papers, 3 papers with code
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries.
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.
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Constrained clustering has gained significant attention in the field of machine learning as it can leverage prior information on a growing amount of only partially labeled data.
A Probabilistic Approach to Constrained Deep Clustering
Clustering with constraints has gained significant attention in the field of semi-supervised machine learning as it can leverage partial prior information on a growing amount of unlabelled data.
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