1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 1 cited
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
Axel Elaldi, Guido Gerig, Neel Dey
Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain. This paper advances the analysis…
eess.IV2023
-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
Axel Elaldi, Guido Gerig, Neel Dey
We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD), an equivariant framework for sparse deconvolution of volumes where each voxel contains…
eess.IV2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
Axel Elaldi, Neel Dey, Heejong Kim +1
We present a rotation-equivariant unsupervised learning framework for the sparse deconvolution of non-negative scalar fields defined on the unit sphere. Spherical signals with mult…