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Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks., , , , , , , , , and 19 other author(s). IEEE Trans. Med. Imaging, 35 (11): 2459-2475 (2016)Herausforderungen in der Anwendbarkeit von Metriken: Bias, Effizienz und Hubness.. Ausgezeichnete Informatikdissertationen, volume D-16 of LNI, GI, (2015)Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions., , , , , , , , , and 28 other author(s). CoRR, (2018)Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool., and . BMC Medical Imaging, (2015)Visualising Class Distribution on Self-organising Maps., , and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 359-368. Springer, (2007)Overview of the VISCERAL Challenge at ISBI 2015., , , , , , , , , and 9 other author(s). VISCERAL Challenge@ISBI, volume 1390 of CEUR Workshop Proceedings, page 6-11. CEUR-WS.org, (2015)A formal method for selecting evaluation metrics for image segmentation., , and . ICIP, page 932-936. IEEE, (2014)An Efficient Algorithm for Calculating the Exact Hausdorff Distance., and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (11): 2153-2163 (2015)