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CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias.

, , , и . BrainLes@MICCAI, том 10154 из Lecture Notes in Computer Science, стр. 100-107. (2016)

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Raphael Paschke

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

Raphael Feinberg

Willy Raphael

Ernst Raphael

Raphael Leonhardt

 

Другие публикации лиц с тем же именем

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)Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?, , , и . CoRR, (2024)Interactive segmentation of MR images from brain tumor patients., , , , , , и . ISBI, стр. 862-865. IEEE, (2014)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)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)Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment., , , , и . MLCN/DLF/iMIMIC@MICCAI, том 11038 из Lecture Notes in Computer Science, стр. 106-114. Springer, (2018)Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis., , и . CoRR, (2024)Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors., , , , и . Brainles@MICCAI, том 9556 из Lecture Notes in Computer Science, стр. 156-167. Springer, (2015)