51 citations · 52 across the 3 of their papers we have counts for
4 papers
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
Ričards Marcinkevičs, Patricia Reis Wolfertstetter, Ugne Klimiene +9
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous decision support systems for appendicitis have focused on clinical, laboratory, scoring,…
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models
Alain Ryser, Laura Manduchi, Fabian Laumer +3
We propose a novel anomaly detection method for echocardiogram videos. The introduced method takes advantage of the periodic nature of the heart cycle to learn three variants of a…
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms
Hanna Ragnarsdottir, Laura Manduchi, Holger Michel +4
Pulmonary hypertension (PH) in newborns and infants is a complex condition associated with several pulmonary, cardiac, and systemic diseases contributing to morbidity and mortality…
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi, Kieran Chin-Cheong, Holger Michel +2
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. Fo…