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:
Automatic Retinal Blood Vessel Segmentation Based on Multi-Level Convolutional Neural Network
Jinnan Guo, Shiwei Ren, Yueting Shi, et al.
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2018) Vol. 11, pp. 1-5
Closed Access | Times Cited: 12
Jinnan Guo, Shiwei Ren, Yueting Shi, et al.
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2018) Vol. 11, pp. 1-5
Closed Access | Times Cited: 12
Showing 12 citing articles:
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: 108
Chunhui Chen, Joon Huang Chuah, Ali Raza, et al.
IEEE Access (2021) Vol. 9, pp. 111985-112004
Open Access | Times Cited: 108
Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
Yun Jiang, Ning Tan, Tingting Peng, et al.
IEEE Access (2019) Vol. 7, pp. 76342-76352
Open Access | Times Cited: 82
Yun Jiang, Ning Tan, Tingting Peng, et al.
IEEE Access (2019) Vol. 7, pp. 76342-76352
Open Access | Times Cited: 82
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
Olubunmi Omobola Sule
IEEE Access (2022) Vol. 10, pp. 38202-38236
Open Access | Times Cited: 33
Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive review
B. Lalithadevi, S. Krishnaveni
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 19
Closed Access | Times Cited: 13
B. Lalithadevi, S. Krishnaveni
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 19
Closed Access | Times Cited: 13
Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation
Tariq M. Khan, Faizan Abdullah, Syed S. Naqvi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Closed Access | Times Cited: 18
Tariq M. Khan, Faizan Abdullah, Syed S. Naqvi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Closed Access | Times Cited: 18
Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Prem Kumari Verma, Jagdeep Kaur
Deleted Journal (2024)
Open Access | Times Cited: 1
Prem Kumari Verma, Jagdeep Kaur
Deleted Journal (2024)
Open Access | Times Cited: 1
Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network
Guoye Lin, Hanhua Bai, Jie Zhao, et al.
Medical Physics (2022) Vol. 49, Iss. 7, pp. 4494-4507
Closed Access | Times Cited: 7
Guoye Lin, Hanhua Bai, Jie Zhao, et al.
Medical Physics (2022) Vol. 49, Iss. 7, pp. 4494-4507
Closed Access | Times Cited: 7
Classification of Diabetic Retinopathy and Retinal Vein Occlusion in Human Eye Fundus Images by Transfer Learning
Usman Ali, Muhammad Aslam, A. M. Martínez-Enríquez, et al.
Advances in intelligent systems and computing (2020), pp. 642-653
Closed Access | Times Cited: 5
Usman Ali, Muhammad Aslam, A. M. Martínez-Enríquez, et al.
Advances in intelligent systems and computing (2020), pp. 642-653
Closed Access | Times Cited: 5
Improvement of thin retinal vessel extraction using mean matting method
V. Sathananthavathi, G. Indumathi, Rita Mahiya, et al.
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 3, pp. 1455-1467
Closed Access | Times Cited: 4
V. Sathananthavathi, G. Indumathi, Rita Mahiya, et al.
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 3, pp. 1455-1467
Closed Access | Times Cited: 4
A Brief Review on Vessel Extraction and Tracking Methods
Farsad Zamani Boroujeni, Simindokht Jahangard, Rahmita Wirza O. K. Rahmat
(2019), pp. 46-52
Open Access
Farsad Zamani Boroujeni, Simindokht Jahangard, Rahmita Wirza O. K. Rahmat
(2019), pp. 46-52
Open Access
An Encoder-decoder Deep Learning Model Combining Mixed Attention Mechanism and Asymmetric Convolution for Automation of Retinal Vessels Segmentation
Jiajia Cao, Qin Zhou, Yi Chen, et al.
(2021)
Open Access
Jiajia Cao, Qin Zhou, Yi Chen, et al.
(2021)
Open Access
An Encoder-decoder Deep Learning Model Combining Mixed Attention Mechanism and Asymmetric Convolution for Automation of Retinal Vessels Segmentation
Jiajia Cao, Qin Zhou, Yi Chen, et al.
(2021)
Open Access
Jiajia Cao, Qin Zhou, Yi Chen, et al.
(2021)
Open Access
