Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep Retinal Image Segmentation With Regularization Under Geometric Priors
Venkateswararao Cherukuri, Vijay Kumar B.G., Raja Bala, et al.
IEEE Transactions on Image Processing (2019) Vol. 29, pp. 2552-2567
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Applications of deep learning in fundus images: A review
Tao Li, Bo Wang, Chunyu Hu, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101971-101971
Open Access | Times Cited: 275
Boundary-aware context neural network for medical image segmentation
Ruxin Wang, Shu‐Yuan Chen, Chaojie Ji, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102395-102395
Open Access | Times Cited: 136
Retinal Vessel Segmentation Using Deep Learning: A Review
Chunhui Chen, Joon Huang Chuah, Ali Raza, et al.
IEEE Access (2021) Vol. 9, pp. 111985-112004
Open Access | Times Cited: 110
FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
Kai Jin, Xingru Huang, Jingxing Zhou, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 97
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation
Yuan Zhang, Miao He, Zhineng Chen, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116526-116526
Closed Access | Times Cited: 83
Recent progress in transformer-based medical image analysis
Zhaoshan Liu, Qiujie Lv, Ziduo Yang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107268-107268
Open Access | Times Cited: 57
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation
Yang Li, Yue Zhang, Jingyu Liu, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 9, pp. 5826-5839
Closed Access | Times Cited: 63
Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss
Yubo Tan, Kai-Fu Yang, Shixuan Zhao, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2238-2251
Closed Access | Times Cited: 58
State-of-the-art retinal vessel segmentation with minimalistic models
Adrián Galdrán, André Anjos, José Dolz, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 55
Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Yanhong Liu, Ji Shen, Lei Yang, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106341-106341
Closed Access | Times Cited: 53
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation
Jianyong Li, Ge Gao, Lei Yang, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104426-104426
Closed Access | Times Cited: 44
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
Tianyi Shi, Nicolas Boutry, Yongchao Xu, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 2557-2569
Open Access | Times Cited: 42
MAGF-Net: A multiscale attention-guided fusion network for retinal vessel segmentation
Jianyong Li, Ge Gao, Yanhong Liu, et al.
Measurement (2022) Vol. 206, pp. 112316-112316
Closed Access | Times Cited: 38
Learning-based algorithms for vessel tracking: A review
Dengqiang Jia, Xiahai Zhuang
Computerized Medical Imaging and Graphics (2021) Vol. 89, pp. 101840-101840
Open Access | Times Cited: 51
Blood vessel segmentation in retinal fundus images for proliferative diabetic retinopathy screening using deep learning
P. Saranya, S. Prabakaran, Rahul Kumar, et al.
The Visual Computer (2021) Vol. 38, Iss. 3, pp. 977-992
Closed Access | Times Cited: 46
A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions
Olubunmi Omobola Sule
IEEE Access (2022) Vol. 10, pp. 38202-38236
Open Access | Times Cited: 33
Data-Driven Deep Supervision for Medical Image Segmentation
Suraj Mishra, Yizhe Zhang, Danny Z. Chen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 6, pp. 1560-1574
Open Access | Times Cited: 31
Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey
K. Radha, Yepuganti Karuna
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 16
Weakly-Supervised Vessel Detection in Ultra-Widefield Fundus Photography via Iterative Multi-Modal Registration and Learning
Li Ding, Ajay E. Kuriyan, Rajeev S. Ramchandran, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 40, Iss. 10, pp. 2748-2758
Open Access | Times Cited: 39
Deep matched filtering for retinal vessel segmentation
Yubo Tan, Kai-Fu Yang, Shixuan Zhao, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111185-111185
Closed Access | Times Cited: 15
Multi scale multi attention network for blood vessel segmentation in fundus images
Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Retinal Image Classification by Self-supervised Fuzzy Clustering Network
Yueguo Luo, Jing Pan, Shaoshuai Fan, et al.
IEEE Access (2020), pp. 1-1
Open Access | Times Cited: 35
Artery vein classification in fundus images using serially connected U-Nets
Robert Arnar Karlsson, Sveinn Hákon Hardarson
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106650-106650
Closed Access | Times Cited: 21
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Xinxu Wei, Kai-Fu Yang, Danilo Bzdok, et al.
Expert Systems with Applications (2022) Vol. 217, pp. 119443-119443
Open Access | Times Cited: 20
(DA-U)2Net: double attention U2Net for retinal vessel segmentation
Byoung Sun Chu, Jinsong Zhao, W. Jim Zheng, et al.
BMC Ophthalmology (2025) Vol. 25, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top