Search details
1.
[Expert recommendations for magnetic resonance imaging of muscle disorders]. / Expertenempfehlung zur Magnetresonanztomographie bei Muskelerkrankungen.
Nervenarzt
; 2024 Apr 29.
Article
in German
| MEDLINE | ID: mdl-38683354
2.
On the water-fat in-phase assumption for quantitative susceptibility mapping.
Magn Reson Med
; 89(3): 1068-1082, 2023 03.
Article
in English
| MEDLINE | ID: mdl-36321543
3.
Compositional and Functional MRI of Skeletal Muscle: A Review.
J Magn Reson Imaging
; 2023 Nov 06.
Article
in English
| MEDLINE | ID: mdl-37929681
4.
Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset.
Eur Radiol
; 33(8): 5882-5893, 2023 Aug.
Article
in English
| MEDLINE | ID: mdl-36928566
5.
Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains.
Neuroimage
; 264: 119750, 2022 12 01.
Article
in English
| MEDLINE | ID: mdl-36379421
6.
Beyond mean value analysis - a voxel-based analysis of the quantitative MR biomarker water T2 in the presence of fatty infiltration in skeletal muscle tissue of patients with neuromuscular diseases.
NMR Biomed
; 35(12): e4805, 2022 Dec.
Article
in English
| MEDLINE | ID: mdl-35892264
7.
Risk and consequences of dehydration following colorectal cancer resection with diverting ileostomy. A systematic review and meta-analysis.
Colorectal Dis
; 23(7): 1721-1732, 2021 07.
Article
in English
| MEDLINE | ID: mdl-33783976
8.
Water T2 Mapping in Fatty Infiltrated Thigh Muscles of Patients With Neuromuscular Diseases Using a T2 -Prepared 3D Turbo Spin Echo With SPAIR.
J Magn Reson Imaging
; 51(6): 1727-1736, 2020 06.
Article
in English
| MEDLINE | ID: mdl-31875343
9.
Decreased water T2 in fatty infiltrated skeletal muscles of patients with neuromuscular diseases.
NMR Biomed
; 32(8): e4111, 2019 08.
Article
in English
| MEDLINE | ID: mdl-31180167
10.
Multi-center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles.
NMR Biomed
; 32(9): e4119, 2019 09.
Article
in English
| MEDLINE | ID: mdl-31313867
11.
Paraspinal Muscle DTI Metrics Predict Muscle Strength.
J Magn Reson Imaging
; 50(3): 816-823, 2019 09.
Article
in English
| MEDLINE | ID: mdl-30723976
12.
Association of paraspinal muscle water-fat MRI-based measurements with isometric strength measurements.
Eur Radiol
; 29(2): 599-608, 2019 Feb.
Article
in English
| MEDLINE | ID: mdl-30014202
13.
Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine.
BMC Musculoskelet Disord
; 20(1): 152, 2019 Apr 09.
Article
in English
| MEDLINE | ID: mdl-30961552
14.
T2-Weighted Dixon Turbo Spin Echo for Accelerated Simultaneous Grading of Whole-Body Skeletal Muscle Fat Infiltration and Edema in Patients With Neuromuscular Diseases.
J Comput Assist Tomogr
; 42(4): 574-579, 2018.
Article
in English
| MEDLINE | ID: mdl-29613984
15.
T2 mapping with magnetization-prepared 3D TSE based on a modified BIR-4 T2 preparation.
NMR Biomed
; 30(11)2017 Nov.
Article
in English
| MEDLINE | ID: mdl-28777496
16.
Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis.
Neuroimage Clin
; 42: 103598, 2024.
Article
in English
| MEDLINE | ID: mdl-38582068
17.
LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation.
medRxiv
; 2024 Mar 11.
Article
in English
| MEDLINE | ID: mdl-38045345
18.
LST-AI: A deep learning ensemble for accurate MS lesion segmentation.
Neuroimage Clin
; 42: 103611, 2024.
Article
in English
| MEDLINE | ID: mdl-38703470
19.
[Expert recommendations for magnetic resonance imaging of muscle disorders]. / Expertenempfehlung zur Magnetresonanztomographie bei Muskelerkrankungen.
Radiologie (Heidelb)
; 2024 Apr 19.
Article
in German
| MEDLINE | ID: mdl-38639916
20.
Longitudinal Assessment of Multiple Sclerosis Lesion Load With Synthetic Magnetic Resonance Imaging-A Multicenter Validation Study.
Invest Radiol
; 58(5): 320-326, 2023 05 01.
Article
in English
| MEDLINE | ID: mdl-36730638