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AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies., , , , , and . BMC Medical Imaging, 22 (1): 168 (2022)Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study., , , , , , , , , and 7 other author(s). BMC Medical Imaging, 23 (1): 104 (December 2023)A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images., , , and . EUSIPCO, page 41-45. IEEE, (2018)ImFEATbox: a toolbox for extraction and analysis of medical image features., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (12): 1881-1893 (2018)Evaluation of computed tomography settings in the context of visualization and discrimination of low dose injections of a novel liquid soft tissue fiducial marker in head and neck imaging., , , , , , , and . BMC Medical Imaging, 21 (1): 157 (2021)Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images., , , and . SPA, page 37-42. IEEE, (2018)Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images., , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1692-1701 (2019)Reduced scan range abdominopelvic CT in patients with suspected acute appendicitis - impact on diagnostic accuracy and effective radiation dose., , , , , , and . BMC Medical Imaging, 19 (1): 4:1-4:7 (2019)Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images., , , and . EUSIPCO, page 1-5. IEEE, (2019)Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies., , , , , , , , , and 2 other author(s). CoRR, (2020)