Sebastian Bickelhaupt

18 papers A* 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection.
CoRR
Ameya Markale, Luise Brock, Ihor Horishnyi, Dominika Skwierawska, Tri-Thien Nguyen, Hannes Schreiter, Shirin Heidarikahkesh, Lorenz A. Kapsner, Michael Uder, Sabine Ohlmeyer, Frederik B. Laun, Andrzej Liebert, Sebastian Bickelhaupt
2025 J jnl
Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols.
CoRR
Tri-Thien Nguyen, Lorenz A. Kapsner, Tobias Hepp, Shirin Heidarikahkesh, Hannes Schreiter, Luise Brock, Dominika Skwierawska, Dominique Hadler, Julian Hossbach, Evelyn Wenkel, Sabine Ohlmeyer, Frederik B. Laun, Andrzej Liebert, Andreas K. Maier, Michael Uder, Sebastian Bickelhaupt
2025 A* conf
Evaluating the Impact of Immersiveness in Virtual Reality Simulations on Anxiety Reduction for MRI Procedures: A Preliminary Study.
VR
Hamideh Hosseini-Toudeshky, Sarah Seidnitzer, Sebastian Bickelhaupt, Rola Harmouche, Marta Kersten-Oertel
2025 J jnl
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload.
J. Am. Medical Informatics Assoc.
Dimitrios Bounias, Lina Simons, Michael Baumgartner, Chris Ehring, Peter Neher, Lorenz A. Kapsner, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Lena Maier-Hein, Michael Uder, Evelyn Wenkel, Klaus H. Maier-Hein, Sebastian Bickelhaupt
2025 J jnl
Risk-adjusted training and evaluation for breast cancer detection.
Comput. Biol. Medicine
Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Paul F. Jaeger, Michael Uder, Klaus H. Maier-Hein, Sebastian Bickelhaupt
2025 — conf
U-Net and GAN for Virtual Contrast in Breast MRI - How Do They Compare to Real Contrast Images?
Bildverarbeitung für die Medizin
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
2024 — conf
Abstract: Object Detection for Breast Diffusion-weighted Imaging.
Bildverarbeitung für die Medizin
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
2024 — conf
Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping.
WBIR
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
2024 — conf
Virtual Dynamic Contrast Enhanced Breast MRI Using 2D U-Net Architectures.
Deep-Breath@MICCAI
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
2022 — conf
Towards Super-resolution CEST MRI for Visualization of Small Structures.
Bildverarbeitung für die Medizin
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
2021 J jnl
Towards Super-Resolution CEST MRI for Visualization of Small Structures.
CoRR
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
2019 — conf
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.
ML4H@NeurIPS
Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2018 — conf
Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.
Bildverarbeitung für die Medizin
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
2018 — conf
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images.
RAMBO+BIA+TIA@MICCAI
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
2018 J jnl
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images.
CoRR
Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Koenig, Klaus H. Maier-Hein
2018 J jnl
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.
CoRR
Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
2017 J jnl
Revealing Hidden Potentials of q-Space Imaging in Breast Cancer.
CoRR
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
2017 — conf
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer.
MICCAI (1)
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