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Sarah Schlaeger

Showing results (11-20 of 44) with videos related to

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Diagnostics (Basel, Switzerland)|February 25, 2022
Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed TomographyTom Finck, Julia Moosbauer, Monika Probst, et al.
Frontiers in Neuroscience|May 13, 2022
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation StudyTom Finck, Hongwei Li, Sarah Schlaeger, et al.
European Radiology Experimental|December 25, 2019
Correction to: Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imagingStephanie Inhuber, Nico Sollmann, Sarah Schlaeger, et al.
European Radiology Experimental|June 11, 2020
Association of quadriceps muscle, gluteal muscle, and femoral bone marrow composition using chemical shift encoding-based water-fat MRI: a preliminary study in healthy young volunteersMichael Dieckmeyer, Florian Zoffl, Lioba Grundl, et al.
European Radiology Experimental|November 22, 2019
Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imagingStephanie Inhuber, Nico Sollmann, Sarah Schlaeger, et al.
Plos One|April 16, 2025
Deep learning-based acceleration of muscle water T2 mapping in patients with neuromuscular diseases by more than 50% - translating quantitative MRI from research to clinical routineJoachim Schmitt, Dominik Weidlich, Kilian Weiss, et al.
Plos One|February 15, 2017
B1-insensitive T2 mapping of healthy thigh muscles using a T2-prepared 3D TSE sequenceElisabeth Klupp, Dominik Weidlich, Sarah Schlaeger, et al.
European Radiology Experimental|November 13, 2023
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationRobert Graf, Joachim Schmitt, Sarah Schlaeger, et al.
Frontiers in Neuroimaging|August 9, 2023
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatmentLuca Canalini, Jan Klein, Diana Waldmannstetter, et al.
Diagnostics (Basel, Switzerland)|February 9, 2021
Texture Features of Proton Density Fat Fraction Maps from Chemical Shift Encoding-Based MRI Predict Paraspinal Muscle StrengthMichael Dieckmeyer, Stephanie Inhuber, Sarah Schlaeger, et al.
Pageof 5

Showing results (11-20 of 44) with videos related to

Sort By:
Pageof 5
Diagnostics (Basel, Switzerland)|February 25, 2022
Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed TomographyTom Finck, Julia Moosbauer, Monika Probst, et al.
Frontiers in Neuroscience|May 13, 2022
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation StudyTom Finck, Hongwei Li, Sarah Schlaeger, et al.
European Radiology Experimental|December 25, 2019
Correction to: Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imagingStephanie Inhuber, Nico Sollmann, Sarah Schlaeger, et al.
European Radiology Experimental|June 11, 2020
Association of quadriceps muscle, gluteal muscle, and femoral bone marrow composition using chemical shift encoding-based water-fat MRI: a preliminary study in healthy young volunteersMichael Dieckmeyer, Florian Zoffl, Lioba Grundl, et al.
European Radiology Experimental|November 22, 2019
Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imagingStephanie Inhuber, Nico Sollmann, Sarah Schlaeger, et al.
Plos One|April 16, 2025
Deep learning-based acceleration of muscle water T2 mapping in patients with neuromuscular diseases by more than 50% - translating quantitative MRI from research to clinical routineJoachim Schmitt, Dominik Weidlich, Kilian Weiss, et al.
Plos One|February 15, 2017
B1-insensitive T2 mapping of healthy thigh muscles using a T2-prepared 3D TSE sequenceElisabeth Klupp, Dominik Weidlich, Sarah Schlaeger, et al.
European Radiology Experimental|November 13, 2023
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentationRobert Graf, Joachim Schmitt, Sarah Schlaeger, et al.
Frontiers in Neuroimaging|August 9, 2023
Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatmentLuca Canalini, Jan Klein, Diana Waldmannstetter, et al.
Diagnostics (Basel, Switzerland)|February 9, 2021
Texture Features of Proton Density Fat Fraction Maps from Chemical Shift Encoding-Based MRI Predict Paraspinal Muscle StrengthMichael Dieckmeyer, Stephanie Inhuber, Sarah Schlaeger, et al.
Pageof 5