Introduces Off-log metric for correlation matrices and Grassmannian subspace distances to improve sensitivity and classification in fMRI brain network analysis across clinical and ageing datasets.
and Fletcher, T.Riemannian Geometric Statistics in Medical Image Analysis (Academic Press, 2019)
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Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces
Introduces Off-log metric for correlation matrices and Grassmannian subspace distances to improve sensitivity and classification in fMRI brain network analysis across clinical and ageing datasets.