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Learning-based segmentation of diffusion-weighted MR images with arbitrary q-space samplings

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Segmenting anatomical regions is a crucial step in many diffusion-weighted MRI (dMRI) workflows, such as region-of-interest analysis or anatomically-constrained tractography, which enable in vivo studies of brain microstructure and connectivity. However, convo... ...