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Spherical finite rate of innovation theory for the recovery of fiber orientations., and . EMBC, page 2294-2297. IEEE, (2012)A unified framework for multimodal structure-function mapping based on eigenmodes., , , and . Medical Image Anal., (2020)Human Biophysics as Network Weights: Conditional Generative Models for Ultra-fast Simulation., , , , , , and . CoRR, (2022)Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance Assessment., , , , , and . ISBI, page 1652-1655. IEEE, (2019)Analytical and fast Fiber Orientation Distribution reconstruction in 3D-Polarized Light Imaging., , , , , , and . Medical Image Anal., (2020)Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction., , , and . ISBI, page 64-68. IEEE, (2021)Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias., , , , and . ISBI, page 991-994. IEEE, (2020)A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI., , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 529-539. Springer, (2021)Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge., , , , , , , , , and 56 other author(s). NeuroImage, (August 2023)Sampling Signals With a Finite Rate of Innovation on the Sphere., and . IEEE Trans. Signal Process., 61 (18): 4552-4561 (2013)