📣 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.

Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information

First Author: Bates R

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-319-24574-4_19

Publication URI: http://dx.doi.org/10.1007/978-3-319-24574-4_19

Type: Book Chapter

Book Title: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III (2015)

Page Reference: 157-164

ISBN: 978-3-319-24573-7