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Formal Analysis and Estimation of Chance in Datasets Based on Their Properties., , , , and . IEEE Trans. Knowl. Data Eng., 34 (12): 5784-5795 (2022)Herausforderungen in der Anwendbarkeit von Metriken: Bias, Effizienz und Hubness.. Ausgezeichnete Informatikdissertationen, volume D-16 of LNI, GI, (2015)BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease., , , , , , , , , and 5 other author(s). Frontiers Artif. Intell., (2020)On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking., , , , , , , and . CoRR, (2020)Visualising Class Distribution on Self-organising Maps., , and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 359-368. Springer, (2007)Confidence estimation of classification based on the distribution of the neural network output layer., , and . CoRR, (2022)VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization, , , , , , , , , and 7 other author(s). Proceedings of the VISCERAL Challenge at ISBI, 1194, page 6-15. (2014)VISCERAL-VISual Concept Extraction challenge in Radiology: Segmentation challenge: overview, insights and preliminary results, , , , , , , , , and 5 other author(s). European Congress of Radiology (ECR) 2015, Vienna, Austria, (2015)VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, , , , , , , , , and 5 other author(s). Deutscher Röntgenkongress, Hamburg, Germany, (2015)An evaluation of performance measures for arterial brain vessel segmentation., , , , , , , and . BMC Medical Imaging, 21 (1): 113 (2021)