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Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer., , и . Decis. Support Syst., (мая 2023)PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps., , , , , , и . CBMS, стр. 66-71. IEEE, (2022)An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges., , , , , , , , , и 22 other автор(ы). CoRR, (2023)Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations., , , , , , , , и . CoRR, (2022)Extracting a Knowledge Base of Mechanisms from COVID-19 Papers., , , , , , , , и . NAACL-HLT, стр. 4489-4503. Association for Computational Linguistics, (2021)Literature-Augmented Clinical Outcome Prediction., , , , и . CoRR, (2021)SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation., , , , , , , , и . CoRR, (2021)A Search Engine for Discovery of Biomedical Challenges and Directions., , , , , , , , , и 1 other автор(ы). CoRR, (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)