Sebastian Bickelhaupt

According to our database, Sebastian Bickelhaupt authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Andrzej Liebert

Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

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, Sebastian Bickelhaupt

Proceedings of the Biomedical Image Registration - 11th International Workshop, 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

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Abstract: Object Detection for Breast Diffusion-weighted Imaging.

Dimitrios Bounias, Michael Baumgartner, 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, Sebastian Bickelhaupt

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2022

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

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2019

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

Proceedings of the Machine Learning for Health Workshop, 2019

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

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.

Paul 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, Klaus Hermann Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Revealing Hidden Potentials of q-Space Imaging in Breast Cancer.

Paul 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, Klaus H. Maier-Hein

CoRR, 2017

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, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017