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Frederik B Laun

Showing results (51-60 of 84) with videos related to

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Investigative Radiology|April 14, 2015
Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate CancerMatthias C Roethke, Tristan A Kuder, Timur H Kuru, et al.
Tomography (Ann Arbor, Mich.)|July 26, 2018
Mask-Adapted Background Field Removal for Artifact Reduction in Quantitative Susceptibility Mapping of the ProstateSina Straub, Julian Emmerich, Heinz-Peter Schlemmer, et al.
Human Brain Mapping|May 10, 2024
In vivo disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRIJessica T E Johnson, M Okan Irfanoglu, Eppu Manninen, et al.
Biorxiv : the Preprint Server for Biology|November 21, 2023
<i>In vivo</i> disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRIJessica T E Johnson, M Okan Irfanoglu, Eppu Manninen, et al.
Neuroreport|August 17, 2018
Symmetric tract-based spatial statistics of patients with left versus right mesial temporal lobe epilepsy with hippocampal sclerosisAngelika B Mennecke, Julie Rösch, Burkhard S Kasper, et al.
Investigative Radiology|December 2, 2024
Relevance of Prostatic Fluid on the Apparent Diffusion Coefficient: An Inversion Recovery Diffusion-Weighted Imaging InvestigationDominika Skwierawska, Sebastian Bickelhaupt, Maximilian Bachl, et al.
Magnetic Resonance Imaging|August 20, 2019
Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocolTheresa Palm, Evelyn Wenkel, Sabine Ohlmeyer, et al.
Clinical Neuroradiology|August 10, 2019
Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma MetastasesSina Straub, Frederik B Laun, Martin T Freitag, et al.
Scientific Reports|June 29, 2023
Image quality assessment using deep learning in high b-value diffusion-weighted breast MRILorenz A Kapsner, Eva L Balbach, Lukas Folle, et al.
Plos One|June 4, 2026
Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imagingJessica V Eberle, Sebastian Bickelhaupt, Lorenz A Kapsner, et al.
Pageof 9

Showing results (51-60 of 84) with videos related to

Sort By:
Pageof 9
Investigative Radiology|April 14, 2015
Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate CancerMatthias C Roethke, Tristan A Kuder, Timur H Kuru, et al.
Tomography (Ann Arbor, Mich.)|July 26, 2018
Mask-Adapted Background Field Removal for Artifact Reduction in Quantitative Susceptibility Mapping of the ProstateSina Straub, Julian Emmerich, Heinz-Peter Schlemmer, et al.
Human Brain Mapping|May 10, 2024
In vivo disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRIJessica T E Johnson, M Okan Irfanoglu, Eppu Manninen, et al.
Biorxiv : the Preprint Server for Biology|November 21, 2023
<i>In vivo</i> disentanglement of diffusion frequency-dependence, tensor shape, and relaxation using multidimensional MRIJessica T E Johnson, M Okan Irfanoglu, Eppu Manninen, et al.
Neuroreport|August 17, 2018
Symmetric tract-based spatial statistics of patients with left versus right mesial temporal lobe epilepsy with hippocampal sclerosisAngelika B Mennecke, Julie Rösch, Burkhard S Kasper, et al.
Investigative Radiology|December 2, 2024
Relevance of Prostatic Fluid on the Apparent Diffusion Coefficient: An Inversion Recovery Diffusion-Weighted Imaging InvestigationDominika Skwierawska, Sebastian Bickelhaupt, Maximilian Bachl, et al.
Magnetic Resonance Imaging|August 20, 2019
Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocolTheresa Palm, Evelyn Wenkel, Sabine Ohlmeyer, et al.
Clinical Neuroradiology|August 10, 2019
Assessment of Melanin Content and its Influence on Susceptibility Contrast in Melanoma MetastasesSina Straub, Frederik B Laun, Martin T Freitag, et al.
Scientific Reports|June 29, 2023
Image quality assessment using deep learning in high b-value diffusion-weighted breast MRILorenz A Kapsner, Eva L Balbach, Lukas Folle, et al.
Plos One|June 4, 2026
Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imagingJessica V Eberle, Sebastian Bickelhaupt, Lorenz A Kapsner, et al.
Pageof 9