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Automatische Bestimmung von 2D/3D-Korrespondenzen in Mammographie- und Tomosynthese-Bilddaten.

, , , , and . Bildverarbeitung für die Medizin, page 99-104. Springer, (2012)

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Automatic landmark identification in 3D image volumes by topography conserving approximation of contour data., , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)Statistical shape modeling of the left ventricle: myocardial infarct classification challenge., , , , , , , , , and 26 other author(s). IEEE J Biomed Health Inform., 22 (2): 503--515 (February 2018)A systematic comparison of generative models for medical images., , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (7): 1213-1224 (2022)Synthesis of annotated pathological retinal OCT data with pathology-induced deformations., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis., , , , , and . Bildverarbeitung für die Medizin, page 52. Springer, (2024)Abstract: Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks., , and . Bildverarbeitung für die Medizin, page 123. Springer, (2021)Analysis of Generative Shape Modeling Approaches - Latent Space Properties and Interpretability., , , , , , and . Bildverarbeitung für die Medizin, page 344-349. Springer, (2021)Evaluation verschiedener Ansätze zur 4D-4D-Registrierung kardiologischer MR-Bilddaten., , and . Bildverarbeitung für die Medizin, page 95-100. Springer, (2015)Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning., , , and . Bildverarbeitung für die Medizin, page 23-28. Springer Vieweg, (2019)Abstract: Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders., , , and . Bildverarbeitung für die Medizin, page 197. Springer Vieweg, (2019)