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VSR-Net: Vessel-like Structure Rehabilitation Network with Graph
  Clustering

VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering

20 December 2023
Haili Ye
Xiaoqing Zhang
Yan Hu
Huazhu Fu
Jiang-Dong Liu
ArXiv (abs)PDFHTML

Papers citing "VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering"

19 / 19 papers shown
Title
Dynamic Snake Convolution based on Topological Geometric Constraints for
  Tubular Structure Segmentation
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
Yaolei Qi
Yuting He
Xiaoming Qi
Yuanyuan Zhang
Guanyu Yang
67
204
0
17 Jul 2023
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for
  Deep Vessel Segmentation
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation
Gangming Zhao
Kongming Liang
Changzai Pan
Fandong Zhang
Xianpeng Wu
Xinyang Hu
Yizhou Yu
MedIm
51
29
0
06 Jan 2023
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery
  Segmentation based on Computed Tomography Angiography Images
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
An Zeng
Chunbiao Wu
Meiping Huang
Jian Zhuang
Shanshan Bi
...
Tianchen Wang
Yiyu Shi
Xuelong Li
Guisen Lin
Xiaowei Xu
77
60
0
03 Nov 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
MedIm
59
27
0
19 Jul 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
123
1,125
0
04 Jan 2022
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
453
21,439
0
25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
178
1,607
0
18 Mar 2021
Local Temperature Scaling for Probability Calibration
Local Temperature Scaling for Probability Calibration
Zhipeng Ding
Xu Han
Peirong Liu
Marc Niethammer
97
81
0
12 Aug 2020
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Hanzhe Hu
Deyi Ji
Weihao Gan
Shuai Bai
Wei Wu
Junjie Yan
GNNSSeg
57
94
0
19 Jul 2020
A Topological Loss Function for Deep-Learning based Image Segmentation
  using Persistent Homology
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
J. Clough
Nicholas Byrne
Ilkay Oksuz
Zhenzhong Lan
Julia A. Schnabel
A. King
63
221
0
04 Oct 2019
Topology-Preserving Deep Image Segmentation
Topology-Preserving Deep Image Segmentation
Xiaoling Hu
Fuxin Li
Dimitris Samaras
Chao Chen
45
278
0
12 Jun 2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu
Jun Cheng
Huazhu Fu
Kang Zhou
Huaying Hao
Yitian Zhao
Tianyang Zhang
Shenghua Gao
Jiang-Dong Liu
SSeg
77
1,642
0
07 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
778
8,533
0
03 Jan 2019
Deep Vessel Segmentation By Learning Graphical Connectivity
Deep Vessel Segmentation By Learning Graphical Connectivity
Seung Yeon Shin
Soochahn Lee
I. Yun
Kyoung Mu Lee
61
208
0
06 Jun 2018
Efficient Interactive Annotation of Segmentation Datasets with
  Polygon-RNN++
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
David Acuna
Huan Ling
Amlan Kar
Sanja Fidler
99
403
0
26 Mar 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
354
4,709
0
15 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
164
3,454
0
07 Oct 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
1