Fhima, Jonathan https://orcid.org/0000-0003-1129-4609
Van Eijgen, Jan https://orcid.org/0000-0001-7243-9280
Billen Moulin-Romsée, Marie-Isaline
Brackenier, Heloïse https://orcid.org/0000-0003-4321-2815
Kulenovic, Hana
Debeuf, Valérie
Vangilbergen, Marie
Freiman, Moti https://orcid.org/0000-0003-1083-1548
Stalmans, Ingeborg https://orcid.org/0000-0001-7507-4512
Behar, Joachim A https://orcid.org/0000-0001-5956-7034
Funding for this research was provided by:
ERANET-CVD (2031470)
Article Title: LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images
Journal Title: Physiological Measurement
Article Type: paper
Copyright Information: © 2024 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd
Publication dates
Date Received: 2024-01-18
Date Accepted: 2024-04-10
Online publication date: 2024-05-03