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Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer.

, , , и . MICCAI (5), том 12265 из Lecture Notes in Computer Science, стр. 480-489. Springer, (2020)

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Другие публикации лиц с тем же именем

Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks., , , , и . ICPR, стр. 3636-3643. IEEE, (2020)A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer., , , и . MICCAI (5), том 12265 из Lecture Notes in Computer Science, стр. 480-489. Springer, (2020)An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images., , , и . ISBI, стр. 1271-1274. IEEE, (2020)Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping., , , , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 5-21. PMLR, (2021)Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients., , , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 235-259. PMLR, (2023)Towards IID representation learning and its application on biomedical data., , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 1375-1402. PMLR, (2022)