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Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding.

, , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 275-283. Springer, (2015)

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