Publications

Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
Purpose: To assess whether breast lesion segmentation can be learned directly from acquired MRI k-space, and whether doing so improves …
Lukas T. Rotkopf, Marco Schlimbach, Julius C. Holzschuh", Heinz-Peter Schlemmer, Jens Kleesiek, Moritz Rempe
Last updated on May 22, 2026
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Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
Generative Modeling of Complex-Valued Brain MRI Data
Standard Magnetic Resonance Imaging (MRI) reconstruction pipelines discard phase information captured during acquisition, despite …
Marco Schlimbach, Moritz Rempe, Jessica Mnischek, Lukas T. Rotkopf, Jens Weingarten, Jens Kleesiek, Kevin Kröninger
Last updated on May 22, 2026
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Generative Modeling of Complex-Valued Brain MRI Data
Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space
Deep learning applications in Magnetic Resonance Imaging (MRI) predominantly operate on reconstructed magnitude images, a process that …
Moritz Rempe, Lukas T. Rotkopf, Marco Schlimbach, Helmut Becker, Fabian Hörst, Johannes Haubold, Philipp Dammann, Kevin Kröninger, Jens Kleesiek
Last updated on Apr 22, 2026
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Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space
De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
Medical data employed in research frequently comprises sensitive patient health information (PHI), which is subject to rigorous legal …
Moritz Rempe, Lukas Heine, Constantin Seibold, Fabian Hörst, Jens Kleesiek
Last updated on Apr 22, 2026
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De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
Magnetic resonance imaging (MRI) raw data, or k-Space data, is complex-valued, containing both magnitude and phase information. …
Moritz Rempe, Fabian Hörst, Helmut Becker, Marco Schlimbach, Lukas Rotkopf, Kevin Kröninger, Jens Kleesiek
Last updated on Apr 14, 2025
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PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
Complex-Valued Deep Neural Networks for Brain Tumor Characterization in MRI k-Space data
The presented workflow generates synthetic MRI scans including phase information. MRI scanners often discard this phase information, …
Marco Schlimbach, Jens Kleesiek, Kevin Kröninger, Moritz Rempe, Jens Weingarten
Last updated on Apr 22, 2026
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Complex-Valued Deep Neural Networks for Brain Tumor Characterization in MRI k-Space data
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes …
Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marco Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek
Last updated on Apr 22, 2026
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Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
Code Publication: Twix MRI Anonymizer - a lightweight Python anonymization-tool for Siemens MRI raw data format twix
Twix MRI Anonymizer is a lightweight Python anonymization-tool for Siemens MRI raw data format twix.
Moritz Rempe, Jens Kleesiek
Last updated on Apr 22, 2026
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k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Background and Objective We present a novel deep learning-based skull stripping algorithm for magnetic resonance imaging (MRI) that …
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
Last updated on Apr 22, 2026
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k-strip: A novel segmentation algorithm in k-space for the application of skull stripping