Demand for Medical Care by the Elderly: A Nonparametric Variational Bayesian Mixture Approach. - Christoph F. Kurz; Rolf Holle (ICCSW, 2017)

Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning. - Manuel Huber 003; Christoph F. Kurz; Reiner Leidl (BMC Medical Informatics Decis. Mak., 2019)

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. - Solveig K. Sieberts; Jennifer Schaff; Marlena Duda; Bálint Á Pataki; Ming Sun; Phil Snyder; Jean-Francois Daneault; Federico Parisi; Gianluca Costante; Udi Rubin; Peter Banda; Yooree Chae; et al. (npj Digit. Medicine, 2021)

Predicting time preference from social media behavior. - Christoph F. Kurz; Adriana N. König (Future Gener. Comput. Syst., 2022)

Machine learning for potion development at Hogwarts. - Christoph F. Kurz; Adriana N. König (CoRR, 2023)

Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer. - Tatiana Merzhevich; Alexandros Tanzanakis; Emmanuelle Salin; Claudia Quiering; Christoph F. Kurz; Benjamin Gmeiner; Bjoern M. Eskofier (AIME (2), 2025)

Benchmarking vision-language models for diagnostics in emergency and critical care settings. - Christoph F. Kurz; Tatiana Merzhevich; Bjoern M. Eskofier; Jakob Nikolas Kather; Benjamin Gmeiner (npj Digit. Medicine, 2025)