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Julian Hoßbach
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Institute of Radiology
Publications
(13)
Activities
(2)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
Translation
Translation
Thesis
Thesis
Edited Volume
Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
Unpublished / Preprint
Unpublished / Preprint
Publication year
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To
Abstract
Journal
Filters (inactive)
Self-supervised MRI denoising: leveraging Stein’s unbiased risk estimator and spatially resolved noise maps (2023)
Pfaff L, Hoßbach J, Preuhs E, Wagner F, Arroyo Camejo S, Kannengiesser S, Nickel D, et al.
Journal article
Severe MR Motion Artefact Correction with 2 step Deep Learning-based guidance (2023)
Hoßbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Maier A
Conference contribution, Abstract of a poster
Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets (2023)
Pfaff L, Wagner F, Hoßbach J, Preuhs E, Maul N, Thies M, Denzinger F, et al.
Conference contribution
Quantitative evaluation of denoising algorithms without noise-free ground-truth data (2023)
Pfaff L, Wagner F, Hoßbach J, Preuhs E, Nickel MD, Wuerfl T, Maier A
Conference contribution
Unsupervised denoising of prostate DWI (2023)
Pfaff L, Wagner F, Hoßbach J, Preuhs E, Gadjimuradov F, Benkert T, Nickel MD, et al.
Conference contribution
Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction (2022)
Hoßbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Lo WC, Meyer H, Maier A
Journal article
Training a tunable, spatially-adaptive denoiser without clean targets (2022)
Pfaff L, Hoßbach J, Preuhs E, Arroyo Camejo S, Nickel MD, Maier A, Wuerfl T
Conference contribution
Prospective motion assessment within multi-shot imaging using coil mixing of the data consistency error and deep learning (2021)
Hoßbach J, Splitthoff D, Clifford B, Polak D, Cauley S, Maier A
Conference contribution
MoPED: Motion Parameter Estimation DenseNet for accelerating retrospective motion correction (2020)
Hoßbach J, Splitthoff D, Cauley S, Maier A
Conference contribution, Conference Contribution
Deep OCT angiography image generation for motion artifact suppression (2020)
Hoßbach J, Husvogt L, Kraus M, Fujimoto JG, Maier A
Conference contribution
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