Frederik B. Laun

19 papers B 1Journal 12Unranked 6

Year	Rank	Type	Title / 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	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
2023	J	`jnl`	NeXtQSM - A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. Medical Image Anal. Francesco Cognolato, Kieran O'Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann
2021	J	`jnl`	NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data. CoRR Francesco Cognolato, Kieran O'Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann
2021	J	`jnl`	The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla. NeuroImage Maximilian N. Voelker, Oliver Kraff, Steffen Goerke, Frederik B. Laun, Jannis Hanspach, Kerrin Pine, Philipp Ehses, Moritz Zaiss, Andrzej Liebert, Sina Straub, Korbinian Eckstein, Simon Robinson, Armin M. Nagel, Maria R. Stefanescu, Astrid Wollrab, Sabrina Klix, Jörg Felder, Michael Hock, Dario Bosch, Nikolaus Weiskopf, Oliver Speck, Mark E. Ladd, Harald H. Quick
2015	J	`jnl`	Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. Lipeng Ning, Frederik B. Laun, Yaniv Gur, Edward V. R. DiBella, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli, Gloria Menegaz, Rutger Fick, Samuel St-Jean, Michael Paquette, Ramón Aranda, Maxime Descoteaux, Rachid Deriche, Lauren O'Donnell, Yogesh Rathi
2014	J	`jnl`	Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage Michael Bach, Frederik B. Laun, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Bram Stieltjes, Klaus H. Maier-Hein
2014	J	`jnl`	Multi-shell diffusion signal recovery from sparse measurements. Medical Image Anal. Yogesh Rathi, Oleg V. Michailovich, Frederik B. Laun, Kawin Setsompop, Patricia Ellen Grant, Carl-Fredrik Westin
2013	—	`conf`	Diffusion Propagator Estimation Using Radial Basis Functions. CDMRI/MMBC@MICCAI Yogesh Rathi, Marc Niethammer, Frederik B. Laun, Kawin Setsompop, Oleg V. Michailovich, Patricia Ellen Grant, Carl-Fredrik Westin
2013	—	`conf`	Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. CDMRI/MMBC@MICCAI Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein
2010	B	`conf`	Directional assessment of fiber integrity in Q-ball imaging. Image Processing Klaus H. Fritzsche, Frederik B. Laun, Bram Stieltjes, Hans-Peter Meinzer
2010	J	`jnl`	Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging? NeuroImage Klaus H. Fritzsche, Frederik B. Laun, Hans-Peter Meinzer, Bram Stieltjes
2009	J	`jnl`	Variational Principles in Image Processing and the Regularization of Orientation Fields. Int. J. Bifurc. Chaos Jaime Cisternas, Marcelo Gálvez, Bram Stieltjes, Frederik B. Laun