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:
Automated classification of retinal images into AMD/non-AMD Class—a study using multi-threshold and Gassian-filter enhanced images
V. Rajinikanth, R. Sivakumar, D. Jude Hemanth, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1163-1171
Closed Access | Times Cited: 12
V. Rajinikanth, R. Sivakumar, D. Jude Hemanth, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1163-1171
Closed Access | Times Cited: 12
Showing 12 citing articles:
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Rebika Rai, Arunita Das, Krishna Gopal Dhal
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 889-945
Open Access | Times Cited: 47
Rebika Rai, Arunita Das, Krishna Gopal Dhal
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 889-945
Open Access | Times Cited: 47
Automatic detection of breast cancer in ultrasound images using Mayfly algorithm optimized handcrafted features
K. Vijayakumar, V. Rajinikanth, M. K. Kirubakaran
Journal of X-Ray Science and Technology (2022) Vol. 30, Iss. 4, pp. 751-766
Closed Access | Times Cited: 31
K. Vijayakumar, V. Rajinikanth, M. K. Kirubakaran
Journal of X-Ray Science and Technology (2022) Vol. 30, Iss. 4, pp. 751-766
Closed Access | Times Cited: 31
Automated method for real-time AMD screening of fundus images dedicated for mobile devices
Sofien Ben Sayadia, Yaroub Elloumi, Rostom Kachouri, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 5, pp. 1449-1479
Open Access | Times Cited: 16
Sofien Ben Sayadia, Yaroub Elloumi, Rostom Kachouri, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 5, pp. 1449-1479
Open Access | Times Cited: 16
Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features
M. P. Rajakumar, R. Sonia, B. Uma Maheswari, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 6, pp. 961-974
Closed Access | Times Cited: 20
M. P. Rajakumar, R. Sonia, B. Uma Maheswari, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 6, pp. 961-974
Closed Access | Times Cited: 20
The classification of eye diseases from fundus images based on CNN and pretrained models
Samir Benbakreti, Soumia Benbakreti, Umut Özkaya
Acta Polytechnica (2024) Vol. 64, Iss. 1, pp. 1-11
Open Access | Times Cited: 2
Samir Benbakreti, Soumia Benbakreti, Umut Özkaya
Acta Polytechnica (2024) Vol. 64, Iss. 1, pp. 1-11
Open Access | Times Cited: 2
Deep and handcrafted feature supported diabetic retinopathy detection: A study
Seifedine Kadry, Rubén González Crespo, Enrique Herrera‐Viedma, et al.
Procedia Computer Science (2023) Vol. 218, pp. 2675-2683
Open Access | Times Cited: 5
Seifedine Kadry, Rubén González Crespo, Enrique Herrera‐Viedma, et al.
Procedia Computer Science (2023) Vol. 218, pp. 2675-2683
Open Access | Times Cited: 5
AMD-Net: Automatic subretinal fluid and hemorrhage segmentation for wet age-related macular degeneration in ocular fundus images
Pan Li, Lingling Liang, Zhanheng Gao, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104262-104262
Closed Access | Times Cited: 6
Pan Li, Lingling Liang, Zhanheng Gao, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104262-104262
Closed Access | Times Cited: 6
Ocular Disease Recognition Using Convolutional Neural Networks
Abhinav Mangla, Shafali Dhall, Neha Gupta, et al.
Communications in computer and information science (2023), pp. 422-433
Closed Access | Times Cited: 3
Abhinav Mangla, Shafali Dhall, Neha Gupta, et al.
Communications in computer and information science (2023), pp. 422-433
Closed Access | Times Cited: 3
Image processing methods to enhance disease information in MRI slices
Nilanjan Dey, V. Rajinikanth
Elsevier eBooks (2022), pp. 49-82
Closed Access | Times Cited: 1
Nilanjan Dey, V. Rajinikanth
Elsevier eBooks (2022), pp. 49-82
Closed Access | Times Cited: 1
Particle Swarm Optimization and Salp Swarm Algorithm for the Segmentation of Diabetic Retinal Blood Vessel Images
Liwei Deng, Shan-Shan Liu, Xiaofei Wang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 1
Liwei Deng, Shan-Shan Liu, Xiaofei Wang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 1
Machine learning classification of normal vs. age-relatedmacular degeneration OCT images
R. Loganathan, S. Latha, Kirubanandan Shanmugam
BOHR International Journal of Smart Computing and Information Technology (2021), pp. 40-44
Open Access
R. Loganathan, S. Latha, Kirubanandan Shanmugam
BOHR International Journal of Smart Computing and Information Technology (2021), pp. 40-44
Open Access
Machine learning classification of normal vs. age-related macular degeneration OCT images
S. Latha, V. L. Raja, Kirubanandan Shanmugam
BOHR International Journal of Smart Computing and Information Technology (2021) Vol. 2, Iss. 1, pp. 34-38
Open Access
S. Latha, V. L. Raja, Kirubanandan Shanmugam
BOHR International Journal of Smart Computing and Information Technology (2021) Vol. 2, Iss. 1, pp. 34-38
Open Access
