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Michael Dieckmeyer

Showing results (31-40 of 64) with videos related to

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Frontiers in Endocrinology|November 12, 2020
Vertebral Bone Marrow Heterogeneity Using Texture Analysis of Chemical Shift Encoding-Based MRI: Variations in Age, Sex, and Anatomical LocationMichael Dieckmeyer, Daniela Junker, Stefan Ruschke, et al.
Quantitative Imaging in Medicine and Surgery|September 15, 2023
Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation frameworkJannis Bodden, Michael Dieckmeyer, Nico Sollmann, et al.
European Radiology|February 1, 2020
Normative brain volume reports may improve differential diagnosis of dementing neurodegenerative diseases in clinical practiceDennis M Hedderich, Michael Dieckmeyer, Tiberiu Andrisan, et al.
Frontiers in Endocrinology|August 2, 2023
Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scansJannis Bodden, Michael Dieckmeyer, Nico Sollmann, et al.
Diagnostics (Basel, Switzerland)|February 12, 2021
Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCTLong Yu Yeung, Nithin Manohar Rayudu, Maximilian Löffler, et al.
Frontiers in Endocrinology|April 20, 2018
Anatomical Variation of Age-Related Changes in Vertebral Bone Marrow Composition Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance ImagingThomas Baum, Alexander Rohrmeier, Jan Syväri, et al.
Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research|May 22, 2022
Automated Opportunistic Osteoporosis Screening in Routine Computed Tomography of the Spine: Comparison With Dedicated Quantitative CTNico Sollmann, Maximilian T Löffler, Malek El Husseini, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2020
MRI-Based Quantitative Osteoporosis Imaging at the Spine and FemurNico Sollmann, Maximilian T Löffler, Sophia Kronthaler, 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.
Magma (New York, N.Y.)|January 27, 2021
Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetryMichael Dieckmeyer, Abhijit Guha Roy, Jyotirmay Senapati, et al.
Pageof 7

Showing results (31-40 of 64) with videos related to

Sort By:
Pageof 7
Frontiers in Endocrinology|November 12, 2020
Vertebral Bone Marrow Heterogeneity Using Texture Analysis of Chemical Shift Encoding-Based MRI: Variations in Age, Sex, and Anatomical LocationMichael Dieckmeyer, Daniela Junker, Stefan Ruschke, et al.
Quantitative Imaging in Medicine and Surgery|September 15, 2023
Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation frameworkJannis Bodden, Michael Dieckmeyer, Nico Sollmann, et al.
European Radiology|February 1, 2020
Normative brain volume reports may improve differential diagnosis of dementing neurodegenerative diseases in clinical practiceDennis M Hedderich, Michael Dieckmeyer, Tiberiu Andrisan, et al.
Frontiers in Endocrinology|August 2, 2023
Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scansJannis Bodden, Michael Dieckmeyer, Nico Sollmann, et al.
Diagnostics (Basel, Switzerland)|February 12, 2021
Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCTLong Yu Yeung, Nithin Manohar Rayudu, Maximilian Löffler, et al.
Frontiers in Endocrinology|April 20, 2018
Anatomical Variation of Age-Related Changes in Vertebral Bone Marrow Composition Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance ImagingThomas Baum, Alexander Rohrmeier, Jan Syväri, et al.
Journal of Bone and Mineral Research : the Official Journal of the American Society for Bone and Mineral Research|May 22, 2022
Automated Opportunistic Osteoporosis Screening in Routine Computed Tomography of the Spine: Comparison With Dedicated Quantitative CTNico Sollmann, Maximilian T Löffler, Malek El Husseini, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2020
MRI-Based Quantitative Osteoporosis Imaging at the Spine and FemurNico Sollmann, Maximilian T Löffler, Sophia Kronthaler, 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.
Magma (New York, N.Y.)|January 27, 2021
Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetryMichael Dieckmeyer, Abhijit Guha Roy, Jyotirmay Senapati, et al.
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