📣 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.

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. (2023)

First Author: Pajaziti E

Attributed to: A hub for device personalisation in the treatment of congenital diseases funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1011055

PubMed Identifier: 37093855

Publication URI: http://europepmc.org/abstract/MED/37093855

Type: Journal Article/Review

Volume: 19

Parent Publication: PLoS computational biology

Issue: 4

ISSN: 1553-734X