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Sarah Schlaeger

Showing results (1-10 of 44) with videos related to

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Neuroimage. Clinical|April 6, 2024
Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysisCui Ci Voon, Tun Wiltgen, Benedikt Wiestler, et al.
Neuromuscular Disorders : NMD|January 14, 2026
286th ENMC international workshop: Muscle imaging: artificial intelligence, automatic segmentation and imaging data sharing in neuromuscular disease. Hoofddorp, The Netherlands, 7-9 March 2025Jodi Warman-Chardon, Volker Straub, John Vissing, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 6, 2023
Compositional and Functional MRI of Skeletal Muscle: A ReviewMelissa T Hooijmans, Lara Schlaffke, Bart Bolsterlee, et al.
Colorectal Disease : the Official Journal of the Association of Coloproctology of Great Britain and Ireland|March 30, 2021
Risk and consequences of dehydration following colorectal cancer resection with diverting ileostomy. A systematic review and meta-analysisJoseph P Borucki, Sarah Schlaeger, Jasmine Crane, et al.
Magnetic Resonance in Medicine|November 2, 2022
On the water-fat in-phase assumption for quantitative susceptibility mappingChristof Boehm, Sarah Schlaeger, Jakob Meineke, et al.
NPJ Digital Medicine|April 23, 2026
The effect of medical explanations from large language models on diagnostic accuracy in radiologyPhilipp Spitzer, Daniel Hendriks, Jan Rudolph, et al.
NMR in Biomedicine|August 5, 2017
T<sub>2</sub> mapping with magnetization-prepared 3D TSE based on a modified BIR-4 T<sub>2</sub> preparationDominik Weidlich, Sarah Schlaeger, Hendrik Kooijman, et al.
Investigative Radiology|February 2, 2023
Longitudinal Assessment of Multiple Sclerosis Lesion Load With Synthetic Magnetic Resonance Imaging-A Multicenter Validation StudySarah Schlaeger, Hongwei Bran Li, Thomas Baum, et al.
European Radiology|March 17, 2023
Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test datasetSarah Schlaeger, Katharina Drummer, Malek El Husseini, et al.
Diagnostics (Basel, Switzerland)|March 11, 2023
Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology DetectionSarah Schlaeger, Katharina Drummer, Malek El Husseini, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Neuroimage. Clinical|April 6, 2024
Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysisCui Ci Voon, Tun Wiltgen, Benedikt Wiestler, et al.
Neuromuscular Disorders : NMD|January 14, 2026
286th ENMC international workshop: Muscle imaging: artificial intelligence, automatic segmentation and imaging data sharing in neuromuscular disease. Hoofddorp, The Netherlands, 7-9 March 2025Jodi Warman-Chardon, Volker Straub, John Vissing, et al.
Journal of Magnetic Resonance Imaging : JMRI|November 6, 2023
Compositional and Functional MRI of Skeletal Muscle: A ReviewMelissa T Hooijmans, Lara Schlaffke, Bart Bolsterlee, et al.
Colorectal Disease : the Official Journal of the Association of Coloproctology of Great Britain and Ireland|March 30, 2021
Risk and consequences of dehydration following colorectal cancer resection with diverting ileostomy. A systematic review and meta-analysisJoseph P Borucki, Sarah Schlaeger, Jasmine Crane, et al.
Magnetic Resonance in Medicine|November 2, 2022
On the water-fat in-phase assumption for quantitative susceptibility mappingChristof Boehm, Sarah Schlaeger, Jakob Meineke, et al.
NPJ Digital Medicine|April 23, 2026
The effect of medical explanations from large language models on diagnostic accuracy in radiologyPhilipp Spitzer, Daniel Hendriks, Jan Rudolph, et al.
NMR in Biomedicine|August 5, 2017
T<sub>2</sub> mapping with magnetization-prepared 3D TSE based on a modified BIR-4 T<sub>2</sub> preparationDominik Weidlich, Sarah Schlaeger, Hendrik Kooijman, et al.
Investigative Radiology|February 2, 2023
Longitudinal Assessment of Multiple Sclerosis Lesion Load With Synthetic Magnetic Resonance Imaging-A Multicenter Validation StudySarah Schlaeger, Hongwei Bran Li, Thomas Baum, et al.
European Radiology|March 17, 2023
Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test datasetSarah Schlaeger, Katharina Drummer, Malek El Husseini, et al.
Diagnostics (Basel, Switzerland)|March 11, 2023
Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology DetectionSarah Schlaeger, Katharina Drummer, Malek El Husseini, et al.
Pageof 5