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

, , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 100-107. (2016)

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation., , , , , , , , , and 1 other author(s). ISBI, page 1-5. IEEE, (2023)A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge., , , , , , , , , and 48 other author(s). CoRR, (2024)Combining unsupervised and supervised learning for predicting the final stroke lesion., , , , , , and . Medical Image Anal., (2021)CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias., , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 100-107. (2016)CT Brain Perfusion: A Clinical Perspective., and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 15-24. Springer, (2018)Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction., , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 429-440. Springer, (2018)Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging., , , , , , , , , and 32 other author(s). MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 115-124. Springer, (2022)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , and 22 other author(s). CoRR, (2021)Analyzing fractal dimension in electroconvulsive therapy: Unraveling complexity in structural and functional neuroimaging., , , , , , , , , and 1 other author(s). NeuroImage, (2024)