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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 Feb 5, 2026
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Efficient Complex-Valued Vision Transformers for MRI Classification Directly from k-Space
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
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 Jul 9, 2024
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Tumor likelihood estimation on MRI prostate data by utilizing k-Space information