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Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.

, , , , , , , , , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 563-573. Springer, (2019)

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An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan., , , , , , and . NeuroImage, (2018)Unbiased Groupwise Registration of White Matter Tractography., , , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 123-130. Springer, (2012)Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data., and . Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, Springer, (2015)Fiber clustering versus the parcellation-based connectome., , and . NeuroImage, (2013)A comparison of three fiber tract delineation methods and their impact on white matter analysis., , , , , , , , , and 2 other author(s). NeuroImage, (2018)3D Large Kernel Anisotropic Network for Brain Tumor Segmentation., , , , , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 444-454. Springer, (2018)Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis., , , , , , , , , and 2 other author(s). NeuroImage, (2018)Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder., , , , , , , , , and 1 other author(s). NeuroImage, (2018)Tract-based morphometry for white matter group analysis., , and . NeuroImage, 45 (3): 832-844 (2009)Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis., , , , , , , , , and 2 other author(s). MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 556-565. Springer, (2017)