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Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks.

, , , , , и . CoRR, (2019)

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Raphael Paschke

Banking regulation with value-at-risk. Uni Mannheim, (2009)

Raphael Kunis

Raphael Kubiak

Raphael Zender

Raphael Gebs

 

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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)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)Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks., , , , , и . CoRR, (2019)Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs., , , , и . CoRR, (2017)Social Media Influence Operations.. CoRR, (2023)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)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)Interactive segmentation of MR images from brain tumor patients., , , , , , и . ISBI, стр. 862-865. IEEE, (2014)Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?, , , и . CoRR, (2024)Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction., , , , , , и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 107-115. Springer, (2018)