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C Foreman

Showing results (141-150 of 151) with videos related to

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Radiology|February 5, 2020
Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on RadiographsClaudio E von Schacky, Jae Ho Sohn, Felix Liu, et al.
Seminars in Musculoskeletal Radiology|October 15, 2024
Magnetic Resonance Assessment of Bone Quality in Metabolic Bone DiseasesNico Sollmann, Michael Dieckmeyer, Julio Carballido-Gamio, et al.
Journal of Computer Assisted Tomography|April 4, 2018
T2-Weighted Dixon Turbo Spin Echo for Accelerated Simultaneous Grading of Whole-Body Skeletal Muscle Fat Infiltration and Edema in Patients With Neuromuscular DiseasesSarah Schlaeger, Elisabeth Klupp, Dominik Weidlich, et al.
Diagnostics (Basel, Switzerland)|June 28, 2023
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CTSophia S Goller, Jon F Rischewski, Thomas Liebig, et al.
European Radiology|August 18, 2022
Diagnostic value of water-fat-separated images and CT-like susceptibility-weighted images extracted from a single ultrashort echo time sequence for the evaluation of vertebral fractures and degenerative changes of the spineGeorg C Feuerriegel, Sophia Kronthaler, Christof Boehm, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|July 4, 2023
Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture featuresSophia S Goller, Sarah C Foreman, Jon F Rischewski, et al.
Radiology|March 26, 2024
Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CTSarah C Foreman, David Schinz, Malek El Husseini, et al.
Radiology|September 7, 2021
Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on RadiographsClaudio E von Schacky, Nikolas J Wilhelm, Valerie S Schäfer, et al.
European Radiology|April 9, 2022
Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumorsClaudio E von Schacky, Nikolas J Wilhelm, Valerie S Schäfer, et al.
Cancers|April 30, 2021
Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and RadiomicsJan C Peeken, Jan Neumann, Rebecca Asadpour, et al.
Pageof 16

Showing results (141-150 of 151) with videos related to

Sort By:
Pageof 16
Radiology|February 5, 2020
Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on RadiographsClaudio E von Schacky, Jae Ho Sohn, Felix Liu, et al.
Seminars in Musculoskeletal Radiology|October 15, 2024
Magnetic Resonance Assessment of Bone Quality in Metabolic Bone DiseasesNico Sollmann, Michael Dieckmeyer, Julio Carballido-Gamio, et al.
Journal of Computer Assisted Tomography|April 4, 2018
T2-Weighted Dixon Turbo Spin Echo for Accelerated Simultaneous Grading of Whole-Body Skeletal Muscle Fat Infiltration and Edema in Patients With Neuromuscular DiseasesSarah Schlaeger, Elisabeth Klupp, Dominik Weidlich, et al.
Diagnostics (Basel, Switzerland)|June 28, 2023
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CTSophia S Goller, Jon F Rischewski, Thomas Liebig, et al.
European Radiology|August 18, 2022
Diagnostic value of water-fat-separated images and CT-like susceptibility-weighted images extracted from a single ultrashort echo time sequence for the evaluation of vertebral fractures and degenerative changes of the spineGeorg C Feuerriegel, Sophia Kronthaler, Christof Boehm, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|July 4, 2023
Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture featuresSophia S Goller, Sarah C Foreman, Jon F Rischewski, et al.
Radiology|March 26, 2024
Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CTSarah C Foreman, David Schinz, Malek El Husseini, et al.
Radiology|September 7, 2021
Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on RadiographsClaudio E von Schacky, Nikolas J Wilhelm, Valerie S Schäfer, et al.
European Radiology|April 9, 2022
Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumorsClaudio E von Schacky, Nikolas J Wilhelm, Valerie S Schäfer, et al.
Cancers|April 30, 2021
Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and RadiomicsJan C Peeken, Jan Neumann, Rebecca Asadpour, et al.
Pageof 16