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OpenAlex Citation Counts

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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 26-50 of 69 citing articles:

RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation
Yong Yang, Weiguo Wan, Shuying Huang, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 5, pp. 1605-1620
Closed Access | Times Cited: 17
A lightweight network guided with differential matched filtering for retinal vessel segmentation
Yubo Tan, Shixuan Zhao, Kai-Fu Yang, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106924-106924
Closed Access | Times Cited: 9
MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation
Giri Babu Kande, Logesh Ravi, Nitya Kande, et al.
IEEE Access (2023) Vol. 12, pp. 534-551
Open Access | Times Cited: 9
Coronary artery segmentation in angiographic videos utilizing spatial-temporal information
Lu Wang, Dongxue Liang, Xiao-lei Yin, et al.
BMC Medical Imaging (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 25
Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation
Beiji Zou, Yulan Dai, Qi He, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 6, pp. 2586-2597
Open Access | Times Cited: 24
Robust Deep 3D Blood Vessel Segmentation Using Structural Priors
Xuelu Li, Raja Bala, Vishal Monga
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 1271-1284
Closed Access | Times Cited: 15
共聚焦激光扫描检眼镜研究进展与应用（特邀）
叶夏笛 Ye Xiadi, 黄江杰 Huang Jiangjie, 孔文 Kong Wen, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 10, pp. 1000003-1000003
Open Access | Times Cited: 2
Deep learning based retinal vessel segmentation and hypertensive retinopathy quantification using heterogeneous features cross-attention neural network
Xinghui Liu, Hongwen Tan, Wu Wang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
Geng-Xin Xu, Chuan-Xian Ren
Neurocomputing (2022) Vol. 523, pp. 199-212
Open Access | Times Cited: 11
PKDN: Prior Knowledge Distillation Network for bronchoscopy diagnosis
Pengfei Yan, Weiling Sun, Xiang Li, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107486-107486
Closed Access | Times Cited: 6
A Detailed Systematic Review on Retinal Image Segmentation Methods
Nihar Ranjan Panda, Ajit Kumar Sahoo
Journal of Digital Imaging (2022) Vol. 35, Iss. 5, pp. 1250-1270
Open Access | Times Cited: 9
Automated Computationally Intelligent Methods for Ocular Vessel Segmentation and Disease Detection: A Review
Preity, Ashish Kumar Bhandari, S. Shahnawazuddin
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 701-724
Closed Access | Times Cited: 5
Supervision by Denoising
Sean I. Young, Adrian V. Dalca, Enzo Ferrante, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-12
Open Access | Times Cited: 4
Soft Attention Mechanism Based Network to Extract Blood Vessels From Retinal Image Modality
Preity, Ashish Kumar Bhandari, S. Shahnawazuddin
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3408-3418
Closed Access | Times Cited: 1
Overview of Deep Learning Methods for Retinal Vessel Segmentation
Gorana Gojić, Ognjen Kundačina, Dragiša Mišković, et al.
Lecture notes in networks and systems (2024), pp. 81-92
Closed Access | Times Cited: 1
Survey on retinal vessel segmentation
Arunakranthi Godishala, Veena Raj, Daphne Teck Ching Lai, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Feature pyramid U‐Net for retinal vessel segmentation
Yipeng Liu, Xue Rui, Zhanqing Li, et al.
IET Image Processing (2021) Vol. 15, Iss. 8, pp. 1733-1744
Closed Access | Times Cited: 9
Robust blood vessel detection with image enhancement using relative intensity order transformation and deep learning
Chandrakala Kuruba, N. P. Gopalan
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105195-105195
Closed Access | Times Cited: 3
DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images
Mohsin Raza, Khuram Naveed, Awais Akram, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0261698-e0261698
Open Access | Times Cited: 7
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
Adrián Galdrán, André Anjos, José Dolz, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 6
Computer aided diagnosis systems using deep learning for retinal diseases: A survey
G. Sivapriya, P. Keerthika
Materials Today Proceedings (2022) Vol. 58, pp. 286-292
Closed Access | Times Cited: 4
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Xinxu Wei, Kai-Fu Yang, Danilo Bzdok, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 4
A Hybrid Fusion Method Combining Spatial Image Filtering with Parallel Channel Network for Retinal Vessel Segmentation
Cem Yakut, İlkay Öksüz, Sezer Ulukaya
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 5, pp. 6149-6162
Closed Access | Times Cited: 4
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks
Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, et al.
2014 48th Asilomar Conference on Signals, Systems and Computers (2020), pp. 1553-1557
Open Access | Times Cited: 4
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.
(2020)
Open Access | Times Cited: 4

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