INdividual Vascular SignaTure: A new machine learning tool to aid personalised management of risk for cardiovascular disease

Project Information

INVeST

Grant agreement ID: 703570

DOI

10.3030/703570

Project closed

EC signature date 16 March 2016

Start date 2 September 2016

End date 1 September 2018

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 183 454,80

EU contribution

€ 183 454,80

Coordinated by

ASTON UNIVERSITY
United Kingdom

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (1)

Effective visualization of Retinal Vessel Analysis (RVA) data

Author(s): Andras Joo, Emily Scarpello, Aniko Ekart, Doina Gherghel
Published in: ARVO Annual Meeting Abstract, Issue 59(9), 2018, Page(s) 1695--1695
Publisher: ARVO

Other (1)

Modelling Retinal Vessel Flicker Response

Author(s): András M Joó, Anikó Ekárt, Emily Scarpello, Konstantin Gugleta, Selim Orguel, Leopold Schmetterer,, Doina Gherghel
Published in: 2019
Publisher: not yet published