B. Pfahringer

Machine learning for real-time prediction of complications in critical care: a retrospective study.

Thomas Hofmann, Carsten Eickhoff, V. Falk, 2018, The Lancet. Respiratory medicine.

Using interpretability approaches to update "black-box" clinical prediction models: an external validation study in nephrology

Harry Freitas da Cruz, Boris Pfahringer, Tom Martensen, 2021, Artif. Intell. Medicine.

External Validation of a "Black-Box" Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?

Alexander Meyer, Matthieu-P. Schapranow, Harry Freitas Da Cruz, 2019, AIME.

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge

Bjoern H Menze, J. Schaller, A. Hennemuth, 2021, Medical Image Anal..

Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

V. Falk, A. Meyer, B. Pfahringer, 2020, npj Digital Medicine.

Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)

J. Schaller, A. Hennemuth, L. Goubergrits, 2020, CADA@MICCAI.

Systematic Assessment of Shock Severity in Postoperative Cardiac Surgery Patients.

B. Pfahringer, F. Schoenrath, M. Hommel, 2023, Journal of the American College of Cardiology.