Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative
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DOI: 10.1016/j.media.2021.102123
Abstract: Structural and anatomical analyses of magnetic resonance imaging (MRI) data often require a reconstruction of the three-dimensional anatomy to a statistical shape model. Our prior work demonstrated the usefulness of tetrahedral spectral features for grey… read more here.
Keywords: spectral feature; matter; grey matter; matter morphometry ... See more keywords