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3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures.

, , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 150-161. (2016)

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Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation., , , , and . CoRR, (2019)Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI., , , , , , , , , and 41 other author(s). NeuroImage, (2022)Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling., , , , , , , , , and 1 other author(s). CoRR, (2016)Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 393-405. Springer, (2018)NeAT: a Nonlinear Analysis Toolbox for Neuroimaging., , , , , , , , , and . Neuroinformatics, 18 (4): 517-530 (2020)3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures., , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 150-161. (2016)Few-Shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition., , and . DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 181-189. Springer, (2019)