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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)

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Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks., , , , , and . CoRR, (2019)Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs., , , , and . CoRR, (2017)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)Social Media Influence Operations.. CoRR, (2023)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)Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?, , , and . CoRR, (2024)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)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)Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction., , , , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 107-115. Springer, (2018)