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Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation.

, , , , и . MICCAI (1), том 8673 из Lecture Notes in Computer Science, стр. 714-721. Springer, (2014)

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Roland Gerhard Rudi Wiest

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Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks., , , , , и . CoRR, (2019)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , и 34 other автор(ы). CoRR, (2019)Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty., , , , , и . BrainLes@MICCAI (1), том 12658 из Lecture Notes in Computer Science, стр. 401-411. Springer, (2020)Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression., , , и . ISBI, стр. 1052-1055. IEEE, (2018)Interactive segmentation of MR images from brain tumor patients., , , , , , и . ISBI, стр. 862-865. IEEE, (2014)On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation., , , , , , и . MICCAI (1), том 11070 из Lecture Notes in Computer Science, стр. 682-690. Springer, (2018)Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation., , , , и . MICCAI (1), том 8673 из Lecture Notes in Computer Science, стр. 714-721. Springer, (2014)Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors., , , и . BrainLes@MICCAI (1), том 12658 из Lecture Notes in Computer Science, стр. 307-317. Springer, (2020)Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding., , , и . Brainles@MICCAI, том 9556 из Lecture Notes in Computer Science, стр. 275-283. Springer, (2015)Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation., , , и . BrainLes@MICCAI (1), том 11992 из Lecture Notes in Computer Science, стр. 379-387. Springer, (2019)