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Overview of the VISCERAL Retrieval Benchmark 2015.

, , , , and . MRDM@ECIR, volume 9059 of Lecture Notes in Computer Science, page 115-123. Springer, (2015)

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Using Probability Maps for Multi–organ Automatic Segmentation, , and . MICCAI MCV workshop, (2014)Multimodal Similar Case Retrieval in the Medical Domain, , , , and . Multimodal Retrieval in the Medical Domain (MRMD) 2015, 9059, Vienna, Austria, Springer LNCS, (2015)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)Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT-UPB Participation in the ImageCLEF 2017 Tuberculosis Task., , , , and . CLEF (Working Notes), volume 1866 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval., , , and . MRDM@ECIR, volume 9059 of Lecture Notes in Computer Science, page 144-152. Springer, (2015)Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons., , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 353-360. Springer, (2013)Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection., , , , , and . EMBC, page 3973-3976. IEEE, (2013)Hierarchical multi-atlas based segmentation for anatomical structures: Evaluation in the VISCERAL anatomy benchmarks, and . Medical Computer Vision. Large Data in Medical Imaging, Boston, USA, Springer, (September 2014)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)