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VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse

, , , , , , , , , , , , , , and . Deutscher Röntgenkongress, Hamburg, Germany, (2015)

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Annotating Medical Image Data., , , , , , , and . Cloud-Based Benchmarking of Medical Image Analysis, Springer, (2017)VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, , , , , , , , , and 5 other author(s). Deutscher Röntgenkongress, Hamburg, Germany, (2015)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: ISBI 2014 Challenge Organization, , , , , , , , , and 7 other author(s). Proceedings of the VISCERAL Challenge at ISBI, 1194, page 6-15. (2014)Ethical and Privacy Aspects of Using Medical Image Data., , , , , , , and . Cloud-Based Benchmarking of Medical Image Analysis, Springer, (2017)Datasets Created in VISCERAL., , , , , , , and . Cloud-Based Benchmarking of Medical Image Analysis, Springer, (2017)