📣 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.

Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network. (2020)

First Author: Razeghi O

Attributed to: Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1161/circimaging.120.011512

PubMed Identifier: 33317334

Publication URI: http://europepmc.org/abstract/MED/33317334

Type: Journal Article/Review

Volume: 13

Parent Publication: Circulation. Cardiovascular imaging

Issue: 12

ISSN: 1941-9651