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Julian Hossbach

Showing results (1-10 of 5) with videos related to

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Medical Physics|November 26, 2022
Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correctionJulian Hossbach, Daniel Nicolas Splitthoff, Stephen Cauley, et al.
Scientific Reports|December 19, 2023
Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise mapsLaura Pfaff, Julian Hossbach, Elisabeth Preuhs, et al.
Magnetic Resonance in Medicine|May 3, 2019
Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion modelMelissa W Haskell, Stephen F Cauley, Berkin Bilgic, et al.
Scientific Reports|October 16, 2024
Enhancing diffusion-weighted prostate MRI through self-supervised denoising and evaluationLaura Pfaff, Omar Darwish, Fabian Wagner, et al.
Magnetic Resonance in Medicine|February 6, 2023
Motion guidance lines for robust data consistency-based retrospective motion correction in 2D and 3D MRIDaniel Polak, Julian Hossbach, Daniel Nicolas Splitthoff, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Medical Physics|November 26, 2022
Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correctionJulian Hossbach, Daniel Nicolas Splitthoff, Stephen Cauley, et al.
Scientific Reports|December 19, 2023
Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise mapsLaura Pfaff, Julian Hossbach, Elisabeth Preuhs, et al.
Magnetic Resonance in Medicine|May 3, 2019
Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion modelMelissa W Haskell, Stephen F Cauley, Berkin Bilgic, et al.
Scientific Reports|October 16, 2024
Enhancing diffusion-weighted prostate MRI through self-supervised denoising and evaluationLaura Pfaff, Omar Darwish, Fabian Wagner, et al.
Magnetic Resonance in Medicine|February 6, 2023
Motion guidance lines for robust data consistency-based retrospective motion correction in 2D and 3D MRIDaniel Polak, Julian Hossbach, Daniel Nicolas Splitthoff, et al.
Pageof 1