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Improving the repeatability of deep learning models with Monte Carlo dropout., , , , , , , , , и . npj Digit. Medicine, (2022)Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks., , , , , , , , , и 1 other автор(ы). BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 228-240. Springer, (2020)A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging., , , , , , , , , и 10 other автор(ы). MLHC, том 219 из Proceedings of Machine Learning Research, стр. 565-587. PMLR, (2023)Is this good enough? On expert perception of brain tumor segmentation quality., , , , , , , , , и 6 other автор(ы). Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , и 2 other автор(ы). CoRR, (2020)An exploration of uncertainty information for segmentation quality assessment., , , , , , , и . Image Processing, том 11313 из SPIE Proceedings, стр. 113131K. SPIE, (2020)Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion., , , , , , , , , и 8 other автор(ы). AIPAD/PILM@MICCAI, том 15197 из Lecture Notes in Computer Science, стр. 57-72. Springer, (2024)Do I know this? segmentation uncertainty under domain shift., , , , , , и . Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Federated Learning for Breast Density Classification: A Real-World Implementation., , , , , , , , , и 33 other автор(ы). DART/DCL@MICCAI, том 12444 из Lecture Notes in Computer Science, стр. 181-191. Springer, (2020)