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Nicht-lineare Texturmaße basierend auf den Minkowski-Funktionalen in 3D: Vorhersage der Bruchlast trabekulärer Knochenpräparate durch Strukturanalyse hochauflösender MR-Aufnahmen., , , , , , , and . Bildverarbeitung für die Medizin, volume 116 of CEUR Workshop Proceedings, page 140-144. CEUR-WS.org, (2004)Distance Map Loss Penalty Term for Semantic Segmentation., , , , and . CoRR, (2019)7T Human Spine Imaging Arrays With Adjustable Inductive Decoupling., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Engineering, 57 (2): 397-403 (2010)Fractal Analysis of Bone X-Ray Tomographic Microscopy Projections., , , and . IEEE Trans. Med. Imaging, 20 (5): 443-449 (2001)Predicting the biomechanical strength of proximal femur specimens with bone mineral density features and support vector regression., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83151W. SPIE, (2012)Inter-subject comparison of MRI knee cartilage thickness., , , , , , and . Medical Image Analysis, 12 (2): 120-135 (2008)Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs., , , , and . J. Digital Imaging, 32 (3): 471-477 (2019)Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning., , , , , , , , , and 6 other author(s). CoRR, (2019)Normalized cuts in 3-D for spinal MRI segmentation., , and . IEEE Trans. Med. Imaging, 23 (1): 36-44 (2004)Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression., , , , , , , , , and 1 other author(s). J. Electronic Imaging, 23 (1): 013013 (2014)