Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. - Stefan Denner; Jonas Scherer; Klaus Kades; Dimitrios Bounias; Philipp Schader; Lisa Kausch; Markus Bujotzek; Andreas Michael Bucher; Tobias Penzkofer; Klaus H. Maier-Hein (DEMI@MICCAI, 2023)

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

Visual Prompt Engineering for Medical Vision Language Models in Radiology. - Stefan Denner; Markus Bujotzek; Dimitrios Bounias; David Zimmerer; Raphael Stock; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

Abstract: Real-world Federated Learning in Radiology - Hurdles to Overcome and Benefits to Gain. - Markus Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Klaus H. Maier-Hein; Andreas Bucher; Rickmer Braren (Bildverarbeitung für die Medizin, 2025)

Leveraging foundation models for content-based image retrieval in radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Raphael Stock; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (Comput. Biol. Medicine, 2025)

Real-world federated learning in radiology: hurdles to overcome and benefits to gain. - Markus R. Bujotzek; Ünal Akünal; Stefan Denner; Peter Neher; Maximilian Zenk; Eric Frodl; Astha Jaiswal; Moon S. Kim 002; Nicolai R. Krekiehn; Manuel Nickel; Richard Ruppel; Marcus Both; et al. (J. Am. Medical Informatics Assoc., 2025)