📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Manifold Learning for Cardiac Modeling and Estimation Framework

First Author: Chabiniok R

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-319-14678-2_30

Publication URI: http://dx.doi.org/10.1007/978-3-319-14678-2_30

Type: Book Chapter

Book Title: Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers (2015)

Page Reference: 284-294