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LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

Jonathan Fhima
Jan Van Eijgen
Hana Kulenovic
Valérie Debeuf
Marie Vangilbergen
Marie-Isaline Billen Moulin-Romsée
Heloïse Brackenier
Moti Freiman
Ingeborg Stalmans
Joachim A. Behar
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Papers citing "LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images"

4 / 4 papers shown
Title
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
José Morano
Guilherme Aresta
Hrvoje Bogunović
78
2
0
13 Mar 2025
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling
Jonathan Fhima
Jan Van Eijgen
Lennert Beeckmans
Thomas Jacobs
Moti Freiman
Luis Filipe Nakayama
Ingeborg Stalmans
Chaim Baskin
Joachim A. Behar
MedIm
69
0
0
03 Mar 2025
Learning to Address Intra-segment Misclassification in Retinal Imaging
Learning to Address Intra-segment Misclassification in Retinal Imaging
Yukun Zhou
Moucheng Xu
Yipeng Hu
Hongxiang Lin
Joseph Jacob
P. Keane
Daniel C. Alexander
32
16
0
25 Apr 2021
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
J. Orlando
J. Barbosa-Breda
K. V. Keer
Matthew B. Blaschko
P. Blanco
C. Bulant
53
79
0
25 May 2018