Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

NeurIPS 2017 Cesar F. CaiafaOlaf SpornsAndrew SaykinFranco Pestilli

Recently, linear formulations and convex optimization methods have been proposed to predict diffusion-weighted Magnetic Resonance Imaging (dMRI) data given estimates of brain connections generated using tractography algorithms. The size of the linear models comprising such methods grows with both dMRI data and connectome resolution, and can become very large when applied to modern data... (read more)

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