Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. - Paul F. Jaeger; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (MICCAI (1), 2017)

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. - Paul Jaeger 002; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (CoRR, 2017)

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. - Paul Jaeger 002; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Daniel Heidi; Tristan Anselm Kuder; Daniel Paech; David Bonekamp; Alexander Radbruch; Stefan Delorme; Heinz-Peter Schlemmer; Franziska Steudle; et al. (Bildverarbeitung für die Medizin, 2018)

Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. - Jennifer Kamphenkel; Paul F. Jäger; Sebastian Bickelhaupt; Frederik Bernd Laun; Wolfgang Lederer; Heidi Daniel; Tristan Anselm Kuder; Stefan Delorme; Heinz-Peter Schlemmer; Franziska König; Klaus H. Maier-Hein (RAMBO+BIA+TIA@MICCAI, 2018)

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. - Paul F. Jaeger; Simon A. A. Kohl; Sebastian Bickelhaupt; Fabian Isensee; Tristan Anselm Kuder; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (ML4H@NeurIPS, 2019)

Towards Super-resolution CEST MRI for Visualization of Small Structures. - Lukas Folle; Katharian Tkotz; Fasil Gadjimuradov; Lorenz A. Kapsner; Moritz Fabian; Sebastian Bickelhaupt; David Simon; Arnd Kleyer; Gerhard Krönke; Moritz Zaiß; Armin M. Nagel; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Abstract: Object Detection for Breast Diffusion-weighted Imaging. - Dimitrios Bounias; Michael Baumgartner 001; Peter Neher; Balint Kovacs; Ralf Floca; Paul F. Jaeger; Lorenz A. Kapsner; Jessica Eberle; Dominique Hadler; Frederik B. Laun; Sabine Ohlmeyer; Klaus H. Maier-Hein; et al. (Bildverarbeitung für die Medizin, 2024)

Virtual Dynamic Contrast Enhanced Breast MRI Using 2D U-Net Architectures. - Hannes Schreiter; Jessica Eberle; Lorenz A. Kapsner; Dominique Hadler; Sabine Ohlmeyer; Ramona Erber; Julius Emons; Frederik B. Laun; Michael Uder; Evelyn Wenkel; Sebastian Bickelhaupt; Andrzej Liebert (Deep-Breath@MICCAI, 2024)

Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping. - Luise Brock; Andrzej Liebert; Hannes Schreiter; Dominika Skwierawska; Chris Ehring; Jessica Eberle; Frederik B. Laun; Michael Uder; Lorenz A. Kapsner; Sabine Ohlmeyer; Dominique Hadler; Florian Knoll; et al. (WBIR, 2024)

U-Net and GAN for Virtual Contrast in Breast MRI - How Do They Compare to Real Contrast Images? - Aju George; Hannes Schreiter; Julian Hossbach; Tri-Thien Nguyen; Ihor Horishnyi; Chris Ehring; Shirin Heidarikahkesh; Lorenz A. Kapsner; Frederik B. Laun; Michael Uder; Sabine Ohlmeyer; Sebastian Bickelhaupt; et al. (Bildverarbeitung für die Medizin, 2025)

Evaluating the Impact of Immersiveness in Virtual Reality Simulations on Anxiety Reduction for MRI Procedures: A Preliminary Study. - Hamideh Hosseini-Toudeshky; Sarah Seidnitzer; Sebastian Bickelhaupt; Rola Harmouche; Marta Kersten-Oertel (VR, 2025)