Generation of Differentially Private Heterogeneous Electronic Health Records. - Kieran Chin-Cheong; Thomas M. Sutter; Julia E. Vogt (CoRR, 2020)

Deep Conditional Gaussian Mixture Model for Constrained Clustering. - Laura Manduchi; Kieran Chin-Cheong; Holger Michel; Sven Wellmann; Julia E. Vogt (NeurIPS, 2021)

A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions. - Thomas M. Sutter; Jan A. Roth; Kieran Chin-Cheong; Balthasar L. Hug; Julia E. Vogt (J. Am. Medical Informatics Assoc., 2021)

On the Limitations of Multimodal VAEs. - Imant Daunhawer; Thomas M. Sutter; Kieran Chin-Cheong; Emanuele Palumbo; Julia E. Vogt (ICLR, 2022)

Automatic Classification of General Movements in Newborns. - Daphné Chopard; Sonia Laguna; Kieran Chin-Cheong; Annika Dietz; Anna Badura; Sven Wellmann; Julia E. Vogt (CoRR, 2024)

Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. - Ricards Marcinkevics; Patricia Reis Wolfertstetter; Ugne Klimiene; Kieran Chin-Cheong; Alyssia Paschke; Julia Zerres; Markus Denzinger; David Niederberger; Sven Wellmann; Ece Ozkan; Christian Knorr; Julia E. Vogt (Medical Image Anal., 2024)

Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms. - Hanna Ragnarsdóttir; Ece Ozkan; Holger Michel; Kieran Chin-Cheong; Laura Manduchi; Sven Wellmann; Julia E. Vogt (Int. J. Comput. Vis., 2024)