📣 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.

Software Framework to Quantify Pulmonary Vein Isolation Atrium Scar Tissue (2020)

First Author: Alonso Solis-Lemus J

Attributed to: Predicting Atrial Fibrillation Mechanisms Through Deep Learning funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.22489/cinc.2020.052

Publication URI: http://dx.doi.org/10.22489/cinc.2020.052

Type: Conference/Paper/Proceeding/Abstract