📣 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.

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. (2021)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.cmpb.2021.106261

PubMed Identifier: 34289437

Publication URI: http://europepmc.org/abstract/MED/34289437

Type: Journal Article/Review

Volume: 208

Parent Publication: Computer methods and programs in biomedicine

ISSN: 0169-2607