📣 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.

Aortic Annulus Detection Based on Deep Learning for Transcatheter Aortic Valve Replacement Using Cardiac Computed Tomography. (2023)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3346/jkms.2023.38.e306

PubMed Identifier: 37724499

Publication URI: http://europepmc.org/abstract/MED/37724499

Type: Journal Article/Review

Volume: 38

Parent Publication: Journal of Korean medical science

Issue: 37

ISSN: 1011-8934