English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present formulations and numerical algorithms for solving diffeomorphicshape matching problems. We formulate shape matching as a variational problemgoverned by a dynamical system that models the flow of diffeomorphism $f_t \in\operatorname{diff}(\mathbb{R}^3)$. We overview our contributions in this area,and present an improved, matrix-free implementation of an operator splittingstrategy for diffeomorphic shape matching. We showcase results fordiffeomorphic shape matching of real clinical cardiac data in $\mathbb{R}^3$ toassess the performance of our methodology.

An Operator-Splitting Approach for Variational Optimal Control Formulations for Diffeomorphic Shape Matching