Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability
A generative Bayesian model of principal geodesic analysis in diffeomorphic image registration. Automatically selects an optimal number of dimensions of diffeomorphisms. A compact representation of shape for further statistical analysis. Higher reconstruction accuracy of unobserved test images than previous methods.
principal geodesic analysis diffeomorphic image registration bayesian estimation dimensionality reduction