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RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification

RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification

13 March 2025
José Morano
Guilherme Aresta
Hrvoje Bogunović
ArXivPDFHTML

Papers citing "RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification"

18 / 18 papers shown
Title
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
35
9
0
11 Sep 2023
Simultaneous segmentation and classification of the retinal arteries and
  veins from color fundus images
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
José Morano
Álvaro S. Hervella
Jorge Novo
J. Rouco
25
33
0
20 Sep 2022
RAVIR: A Dataset and Methodology for the Semantic Segmentation and
  Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance
  Imaging
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging
Ali Hatamizadeh
H. Hosseini
Niraj Patel
J. Choi
Cameron Pole
Cory M. Hoeferlin
S. Schwartz
D. Terzopoulos
31
27
0
28 Mar 2022
Multimodal Transfer Learning-based Approaches for Retinal Vascular
  Segmentation
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation
José Morano
Álvaro S. Hervella
N. Barreira
Jorge Novo
J. Rouco
119
10
0
18 Dec 2020
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein
  Classification
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
Wenting Chen
Shuang Yu
Junde Wu
Kai Ma
Cheng Bian
Chunyan Chu
Linlin Shen
Yefeng Zheng
MedIm
42
23
0
29 Jul 2020
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel
  Segmentation and Artery/Vein Classification
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
Wenao Ma
Shuang Yu
Kai Ma
Jiexiang Wang
Xinghao Ding
Yefeng Zheng
44
67
0
18 Jul 2020
Joint segmentation and classification of retinal arteries/veins from
  fundus images
Joint segmentation and classification of retinal arteries/veins from fundus images
Fantin Girard
C. Kavalec
Farida Cheriet
38
97
0
04 Mar 2019
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira
Sérgio Pereira
Carlos Alberto Silva
MedIm
41
264
0
18 Dec 2018
DUNet: A deformable network for retinal vessel segmentation
DUNet: A deformable network for retinal vessel segmentation
Qiangguo Jin
Zhao-Peng Meng
Tuan D. Pham
Qi Chen
Leyi Wei
R. Su
51
676
0
03 Nov 2018
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
73
80
0
25 May 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska
Pablo Márquez-Neila
Mateusz Koziñski
Pascal Fua
3DV
63
231
0
06 Dec 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for
  Neuronal Boundary Detection
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen
Bin Wang
Yuan Jiang
Yan Wang
Alan Yuille
77
62
0
24 Mar 2017
A Fully Convolutional Neural Network based Structured Prediction
  Approach Towards the Retinal Vessel Segmentation
A Fully Convolutional Neural Network based Structured Prediction Approach Towards the Retinal Vessel Segmentation
A. Dasgupta
Sonam Singh
MedIm
52
227
0
07 Nov 2016
Flood-Filling Networks
Flood-Filling Networks
Michał Januszewski
Jeremy B. Maitin-Shepard
Peter H. Li
J. Kornfeld
W. Denk
Viren Jain
103
43
0
01 Nov 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
508
37,806
0
20 May 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
115
5,023
0
22 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
1