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ViLMedic: a framework for research at the intersection of vision and language in medical AI.

, , , , , , , , and . ACL (demo), page 23-34. Association for Computational Linguistics, (2022)

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Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards., , , , , and . EMNLP (Findings), page 4348-4360. Association for Computational Linguistics, (2022)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)Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports., , and . J. Digit. Imaging, 36 (1): 164-177 (February 2023)Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains., , , and . CoRR, (2022)ViLMedic: a framework for research at the intersection of vision and language in medical AI., , , , , , , , and . ACL (demo), page 23-34. Association for Computational Linguistics, (2022)RoentGen: Vision-Language Foundation Model for Chest X-ray Generation., , , , , , , , , and . CoRR, (2022)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)RadGraph: Extracting Clinical Entities and Relations from Radiology Reports., , , , , , , , , and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)