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Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors., , , , , , , , , and 4 other author(s). Artif. Intell. Medicine, (2020)Data Augmentation via Image Registration., , , , , , , , , and 3 other author(s). ICIP, page 4250-4254. IEEE, (2019)MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps., , , , , , , , and . Inf. Sci., (2017)Gaussian mixture model based analysis of apparent diffusion coefficient maps for differentiation between malignant and benign brain tumours - preliminary results., , , and . IWBBIO, page 647-648. Copicentro Editorial, (2013)Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks., , , , , , , and . Comput. Methods Programs Biomed., (2019)DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images., , , , , , , , , and . CoRR, (2024)Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors., , , , , , , , , and 1 other author(s). CoRR, (2019)Überwachtes Lernen zur Prädiktion von Tumorwachstum., , , , , , , , and . Bildverarbeitung für die Medizin, page 473-478. Springer, (2015)Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis., , , , , , , , and . Bildverarbeitung für die Medizin, page 486-491. Springer, (2015)