Publications

Winter A, Pfitzner B, van de Water RP, Faraj L, Riepe C, Hahn WH, et al. Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery – a retrospective multicenter development and comparison study. Int J Surg. 2026;112(1):655–65.

Pfitzner B, Maurer MM, Winter A, Riepe C, Sauer IM, van de Water R, et al. Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction. Int J Semantic Comput. 2025;19(03):343–67.

Maurer MM, Pfitzner B, van de Water RP, Faraj L, Riepe C, Zuluaga D, et al. Privacy preserving federated learning for 90-day mortality prediction in colorectal surgery: a multicenter retrospective development and comparison study. Int J Surg. 2025;111(12):9065–74.

Riepe C, van de Water R, Winter A, Pfitzner B, Faraj L, Ahlborn R, et al. 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study. Int J Surg. 2025;111(6):3742–51.

Winter A, van de Water RP, Pfitzner B, Ibach M, Riepe C, Ahlborn R, et al. Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy. Cancers (Basel). 2024;16(17).

Müller V, Schwarz N, Ruokonen P, Schröder C, Sushko D, Riepe C, Ernst S. Die IVOM APP – mHealth Studie zur Usability. 36. Internationaler Kongress der Deutschen Ophthalmochirurgie (DOC); 20.–22.06.2024; Nürnberg: German Medical Science GMS Publishing House; 2024.

Pfitzner B, Maurer MM, Winter A, Riepe C, Sauer IM, Water RVd, et al. Differentially-Private Federated Learning with Non-IID Data for Surgical Risk Prediction. 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC): IEEE Computer Society; 2024. p. 120–9.