D. Rückert

Secure, privacy-preserving and federated machine learning in medical imaging

Rickmer Braren, Marcus R. Makowski, Georgios A. Kaissis, 2020, Nature Machine Intelligence.

Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data

R. Burgkart, F. Pohlig, R. von Eisenhart-Rothe, 2022, Journal of clinical medicine.

Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label

A. Steger, A. Müller, Eimo Martens, 2022, IEEE Journal of Translational Engineering in Health and Medicine.

Aberrant claustrum structure in preterm-born neonates: an MRI study

C. Sorg, D. Wolke, D. Hedderich, 2022, NeuroImage: Clinical.

CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning

Shadi Albarqouni, D. Rückert, Michele Guerra, 2022 .

Flimma: a federated and privacy-aware tool for differential gene expression analysis

David B. Blumenthal, Julian O. Matschinske, J. Baumbach, 2021, Genome Biology.

AI for Doctors—A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging

N. Navab, C. Zimmer, D. Hedderich, 2021, Healthcare.