2 papers
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…
eess.IV2020
A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients
Heejong Kim, Martin Styner, Joseph Piven +1
Building of atlases plays a crucial role in the analysis of brain images. In scenarios where early growth, aging or disease trajectories are of key importance, longitudinal atlases…