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VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019.

, , , , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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Automated clinical diagnosis: The role of content in various sections of a clinical document., , , , , , and . BIBM, page 1004-1011. IEEE Computer Society, (2017)A Hybrid Approach to Clinical Question Answering., , , , and . TREC, volume 500-308 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2014)ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature., , , , , , , , , and 21 other author(s). CLEF, volume 11696 of Lecture Notes in Computer Science, page 358-386. Springer, (2019)Condensed Memory Networks for Clinical Diagnostic Inferencing., , , , , , , and . CoRR, (2016)Extracting and Normalizing Adverse Drug Reactions from Drug Labels., , , , , , , , and . TAC, NIST, (2017)Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering., , , and . TREC, volume 500-319 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2015)A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching., , , , , , , , , and 3 other author(s). TREC, volume 500-324 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2017)Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models., , , , , , , and . TREC, volume 500-324 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2017)Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing., , , , , , , , , and . TREC, volume 500-324 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2017)BoostER: A Performance Boosting Module for Biomedical Entity Recognition., , , , , , , , , and 1 other author(s). BIBM, page 2554-2560. IEEE, (2019)