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Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach., , , , , и . CoRR, (2018)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , и 14 other автор(ы). NeurIPS, (2022)X-Ray In-Depth Decomposition: Revealing the Latent Structures., , и . MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 444-452. Springer, (2017)Inverse Distance Aggregation for Federated Learning with Non-IID Data., , , и . DART/DCL@MICCAI, том 12444 из Lecture Notes in Computer Science, стр. 150-159. Springer, (2020)An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation., , и . CoRR, (2020)InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction., , , , , , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 73-85. Springer, (2019)Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images., , , и . BrainLes@MICCAI, том 13769 из Lecture Notes in Computer Science, стр. 25-44. Springer, (2022)SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI., , , , и . MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 718-727. Springer, (2020)Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri., , , и . ISBI, стр. 1905-1909. IEEE, (2020)Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement., , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 755-769. PMLR, (2020)