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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)Standardised convolutional filtering for radiomics., , , , , , , and . CoRR, (2020)Shangri-La: A medical case-based retrieval tool., , and . J. Assoc. Inf. Sci. Technol., 68 (11): 2587-2601 (2017)Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task., , , and . Comput. Medical Imaging Graph., (2015)Machine Learning Assisted Citation Screening for Systematic Reviews., , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 302-306. IOS Press, (2020)Live ECG readings using Google Glass in emergency situations., , , , , and . EMBC, page 315-318. IEEE, (2015)Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction., , , , , and . MMM (2), volume 11962 of Lecture Notes in Computer Science, page 553-564. Springer, (2020)Evaluating multimodal relevance feedback techniques for medical image retrieval., , and . Inf. Retr. Journal, 19 (1-2): 100-112 (2016)VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, , , , , , , , , and 5 other author(s). Deutscher Röntgenkongress, Hamburg, Germany, (2015)Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task, , , and . Computerized Medical Imaging and Graphics, (2014)