Daniel Grzech

A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration

We propose a novel variational Bayesian formulation for diffeomorphic non-rigid registration of medical images, which learns in an unsupervised way a data-specific similarity metric. The proposed framework is general and may be used together with many existing image registration models. We evaluate…