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Prof. Dr. Frederik Bernd Laun
List of publications:
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Professur für quantitative MR-Bildgebung
Project Leads
(3)
Project Memberships
(2)
Publications
(133)
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Journal article
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Book chapter / Article in edited volumes
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Relevance of lesion size in navigator-triggered and free-breathing diffusion-weighted liver MRI ()
Reithmeier B, Laun FB, Führes T, Uder M, Bickelhaupt S, Saake M
Journal article
Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks (2025)
Liebert A, Hadler D, Ehring C, Schreiter H, Brock L, Kapsner L, Eberle J, et al.
Journal article
U-Net and GAN for Virtual Contrast in Breast MRI: How Do They Compare to Real Contrast Images? (2025)
George A, Schreiter H, Hoßbach J, Nguyen TT, Horishnyi I, Ehring C, Heidarikahkesh S, et al.
Conference contribution
Feasibility of 7 T 39K/23Na Magnetic Resonance Imaging for assessing muscular ion balance in hypokalemic periodic paralysis (2025)
Mathy C, Nagel AM, Türk M, Stuprich C, Gerhalter T, Marty B, Bickelhaupt S, et al.
Journal article
Influence of field strength on quantitative parameters and feature stability in the assessment of the ovaries using 1.5-T and 3-T MRI (2025)
Mokry T, Pantke J, Kauczor HU, Laun FB, Schlemmer HP, Kuder TA, Bickelhaupt S
Journal article
Analysis of the sample size used in clinical MRI studies (2025)
Bögerl C, Laun FB, Nagel AM, Bickelhaupt S, Uder M, Hanspach J
Journal article
Pros and Cons of High-Performance Gradient Enabled Short-TE Prostate DWI A Prospective Study (2025)
Bachl M, Skwierawska D, Hadler D, Schreiter H, Uder M, Janka RM, Laun FB, Bickelhaupt S
Journal article
Virtual Dynamic Contrast Enhanced Breast MRI Using 2D U-Net Architectures (2025)
Schreiter H, Eberle J, Kapsner L, Hadler D, Ohlmeyer S, Erber R, Emons J, et al.
Conference contribution
Lesion-mimicking DIXON swap artifact in contrast-enhanced subtraction breast MRI (2024)
Bickelhaupt S, Laun FB, Uder M, Ohlmeyer S
Journal article
Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network (2024)
Liebert A, Schreiter H, Kapsner L, Eberle J, Ehring C, Hadler D, Brock L, et al.
Journal article
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