A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI
Abstract: Highlights•Structure-aware deep neural networks trained to invert multi-fiber models of dMRI.•A fast algorithm developed for parameter estimation and uncertainty quantification.•Experiments show improvements in fiber orientation and microstructure estimation.
External IDs:dblp:journals/mia/ConsagraNR25
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