Variational Principles in Image Processing and the Regularization of Orientation Fields. - Jaime Cisternas; Marcelo Gálvez; Bram Stieltjes; Frederik B. Laun (Int. J. Bifurc. Chaos, 2009)

Directional assessment of fiber integrity in Q-ball imaging. - Klaus H. Fritzsche; Frederik B. Laun; Bram Stieltjes; Hans-Peter Meinzer (Image Processing, 2010)

Opportunities and pitfalls in the quantification of fiber integrity: What can we gain from Q-ball imaging? - Klaus H. Fritzsche; Frederik B. Laun; Hans-Peter Meinzer; Bram Stieltjes (NeuroImage, 2010)

Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. - Peter F. Neher; Frederik B. Laun; Bram Stieltjes; Klaus H. Maier-Hein (CDMRI/MMBC@MICCAI, 2013)

Diffusion Propagator Estimation Using Radial Basis Functions. - Yogesh Rathi; Marc Niethammer; Frederik B. Laun; Kawin Setsompop; Oleg V. Michailovich; Patricia Ellen Grant; Carl-Fredrik Westin (CDMRI/MMBC@MICCAI, 2013)

Multi-shell diffusion signal recovery from sparse measurements. - Yogesh Rathi; Oleg V. Michailovich; Frederik B. Laun; Kawin Setsompop; Patricia Ellen Grant; Carl-Fredrik Westin (Medical Image Anal., 2014)

Methodological considerations on tract-based spatial statistics (TBSS). - Michael Bach; Frederik B. Laun; Alexander Leemans; Chantal M. W. Tax; Geert Jan Biessels; Bram Stieltjes; Klaus H. Maier-Hein (NeuroImage, 2014)

Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? - 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; et al. (Medical Image Anal., 2015)

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)

Brain tissues have single-voxel signatures in multi-spectral MRI. - Alexander German; Angelika Mennecke; Jan Martin; Jannis Hanspach; Andrzej Liebert; Jürgen Herrler; Tristan Anselm Kuder; Manuel A. Schmidt; Armin M. Nagel; Michael Uder; Arnd Doerfler; Jürgen Winkler; et al. (NeuroImage, 2021)

Nonparametric D-R1-R2 distribution MRI of the living human brain. - Jan Martin; Alexis Reymbaut; Manuel A. Schmidt; Arnd Doerfler; Michael Uder; Frederik Bernd Laun; Daniel Topgaard (NeuroImage, 2021)

The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla. - 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 002; et al. (NeuroImage, 2021)

NeXtQSM - A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. - Francesco Cognolato; Kieran O'Brien; Jin Jin 003; Simon Robinson 002; Frederik B. Laun; Markus Barth; Steffen Bollmann (Medical Image Anal., 2023)

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)