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Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer.

, , и . Decis. Support Syst., (мая 2023)

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Sravanthi Pasupuleti

 

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Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer., , и . Decis. Support Syst., (мая 2023)Extracting a Knowledge Base of Mechanisms from COVID-19 Papers., , , , , , , , и . NAACL-HLT, стр. 4489-4503. Association for Computational Linguistics, (2021)PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps., , , , , , и . CBMS, стр. 66-71. IEEE, (2022)A Search Engine for Discovery of Scientific Challenges and Directions., , , , , , , , , и 1 other автор(ы). AAAI, стр. 11982-11990. AAAI Press, (2022)Literature-Augmented Clinical Outcome Prediction., , , , и . NAACL-HLT (Findings), стр. 438-453. Association for Computational Linguistics, (2022)Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation., , , , , , , и . MediaEval, том 3181 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Mask-conditioned latent diffusion for generating gastrointestinal polyp images., , , , , , и . ICDAR@ICMR, стр. 1-9. ACM, (2023)MedICaT: A Dataset of Medical Images, Captions, and Textual References., , , , , , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 2112-2120. Association for Computational Linguistics, (2020)