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Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations., , , , , , , , и . COMPAY@MICCAI, том 156 из Proceedings of Machine Learning Research, стр. 170-181. PMLR, (2021)Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations., , , и . ICPR Workshops (1), том 12661 из Lecture Notes in Computer Science, стр. 105-119. Springer, (2020)RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge., , , и . CoRR, (2024)Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification., , , и . Medical Image Anal., (2021)Attention-Based Interpretable Regression of Gene Expression in Histology., , , , , и . iMIMIC@MICCAI, том 13611 из Lecture Notes in Computer Science, стр. 44-60. Springer, (2022)Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks., , , и . iMIMIC/MIL3ID/LABELS@MICCAI, том 12446 из Lecture Notes in Computer Science, стр. 193-203. Springer, (2020)The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue., , , , , , , , , и 31 other автор(ы). CoRR, (2023)Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.. University of Geneva, Switzerland, (2023)base-search.net (ftunivgeneve:oai:unige.ch:aou:unige:170757).Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge., , , , и . BrainLes@MICCAI, том 13769 из Lecture Notes in Computer Science, стр. 241-251. Springer, (2022)DeeperHistReg: Robust Whole Slide Images Registration Framework., , , и . CoRR, (2024)