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Sarah Schlaeger

Showing results (31-40 of 44) with videos related to

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Annals of Neurology|April 8, 2026
Hyperreflective Foci in the Inner Nuclear Layer: Proof-of-Concept for an Optical Coherence Tomography Derived Microglia-Related Marker in Multiple SclerosisJonathan A Gernert, Laura M Bartos, Tara Christmann, et al.
Plos One|April 16, 2025
Sensitivity of multi-parametric quantitative magnetic resonance imaging for multiple sclerosis pathologySarah Schlaeger, Mark Mühlau, Guillaume Gilbert, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Quantitative Muscle MRI in Patients with Neuromuscular Diseases-Association of Muscle Proton Density Fat Fraction with Semi-Quantitative Grading of Fatty Infiltration and Muscle Strength at the Thigh RegionSarah Schlaeger, Nico Sollmann, Agnes Zoffl, et al.
European Radiology|July 18, 2018
Association of paraspinal muscle water-fat MRI-based measurements with isometric strength measurementsSarah Schlaeger, Stephanie Inhuber, Alexander Rohrmeier, et al.
Quantitative Imaging in Medicine and Surgery|January 21, 2020
Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRIEgon Burian, Stephanie Inhuber, Sarah Schlaeger, et al.
Plos One|June 8, 2018
Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUMSarah Schlaeger, Friedemann Freitag, Elisabeth Klupp, et al.
Frontiers in Endocrinology|October 17, 2018
Associations Between Lumbar Vertebral Bone Marrow and Paraspinal Muscle Fat Compositions-An Investigation by Chemical Shift Encoding-Based Water-Fat MRINico Sollmann, Michael Dieckmeyer, Sarah Schlaeger, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 7, 2019
Paraspinal Muscle DTI Metrics Predict Muscle StrengthElisabeth Klupp, Barbara Cervantes, Sarah Schlaeger, et al.
Quantitative Imaging in Medicine and Surgery|June 3, 2021
Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controlsTobias Greve, Egon Burian, Agnes Zoffl, et al.
Neuroimage. Clinical|May 4, 2024
LST-AI: A deep learning ensemble for accurate MS lesion segmentationTun Wiltgen, Julian McGinnis, Sarah Schlaeger, et al.
Pageof 5

Showing results (31-40 of 44) with videos related to

Sort By:
Pageof 5
Annals of Neurology|April 8, 2026
Hyperreflective Foci in the Inner Nuclear Layer: Proof-of-Concept for an Optical Coherence Tomography Derived Microglia-Related Marker in Multiple SclerosisJonathan A Gernert, Laura M Bartos, Tara Christmann, et al.
Plos One|April 16, 2025
Sensitivity of multi-parametric quantitative magnetic resonance imaging for multiple sclerosis pathologySarah Schlaeger, Mark Mühlau, Guillaume Gilbert, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Quantitative Muscle MRI in Patients with Neuromuscular Diseases-Association of Muscle Proton Density Fat Fraction with Semi-Quantitative Grading of Fatty Infiltration and Muscle Strength at the Thigh RegionSarah Schlaeger, Nico Sollmann, Agnes Zoffl, et al.
European Radiology|July 18, 2018
Association of paraspinal muscle water-fat MRI-based measurements with isometric strength measurementsSarah Schlaeger, Stephanie Inhuber, Alexander Rohrmeier, et al.
Quantitative Imaging in Medicine and Surgery|January 21, 2020
Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRIEgon Burian, Stephanie Inhuber, Sarah Schlaeger, et al.
Plos One|June 8, 2018
Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUMSarah Schlaeger, Friedemann Freitag, Elisabeth Klupp, et al.
Frontiers in Endocrinology|October 17, 2018
Associations Between Lumbar Vertebral Bone Marrow and Paraspinal Muscle Fat Compositions-An Investigation by Chemical Shift Encoding-Based Water-Fat MRINico Sollmann, Michael Dieckmeyer, Sarah Schlaeger, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 7, 2019
Paraspinal Muscle DTI Metrics Predict Muscle StrengthElisabeth Klupp, Barbara Cervantes, Sarah Schlaeger, et al.
Quantitative Imaging in Medicine and Surgery|June 3, 2021
Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controlsTobias Greve, Egon Burian, Agnes Zoffl, et al.
Neuroimage. Clinical|May 4, 2024
LST-AI: A deep learning ensemble for accurate MS lesion segmentationTun Wiltgen, Julian McGinnis, Sarah Schlaeger, et al.
Pageof 5