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Contrastive Learning of Medical Visual Representations from Paired Images and Text

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Contrastive Learning of Medical Visual Representations from Paired Images and Text, , , , and . (2020)cite arxiv:2010.00747.Biomedical and Clinical English Model Packages in the Stanza Python NLP Library, , , , and . CoRR, (2020)Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods., , , , , and . J. Am. Medical Informatics Assoc., 30 (2): 318-328 (January 2023)Unlocking Robust Segmentation Across All Age Groups via Continual Learning., , , , , and . CoRR, (2024)Merlin: A Vision Language Foundation Model for 3D Computed Tomography., , , , , , , , , and 21 other author(s). CoRR, (2024)Impact of a deep learning assistant on the histopathologic classification of liver cancer., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2020)FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare., , , , , , , , , and 40 other author(s). CoRR, (2023)Information extraction from multi-institutional radiology reports., and . Artif. Intell. Medicine, (2016)RadGraph: Extracting Clinical Entities and Relations from Radiology Reports., , , , , , , , , and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization., , , and . BioNLP@ACL, page 478-482. Association for Computational Linguistics, (2023)