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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:

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
Gabriel García, Rocío del Amor, Adrián Colomer, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102132-102132
Open Access | Times Cited: 25

Showing 25 citing articles:

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013–2023)
Muhammed Halil Akpınar, Abdulkadir Şengür, Oliver Faust, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108253-108253
Closed Access | Times Cited: 10
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Xiaoqin Huang, Md Rafiqul Islam, Shanjita Akter, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 17
Glaucoma diagnosis in the era of deep learning: A survey
Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Expert Systems with Applications (2024) Vol. 256, pp. 124888-124888
Open Access | Times Cited: 6
Assessing the efficacy of 2D and 3D CNN algorithms in OCT-based glaucoma detection
Rafiul K. Rasel, Fengze Wu, Marion Chiariglione, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography
Aidi Lin, Yuanyuan Peng, Tian Lin, et al.
Advanced Intelligent Systems (2025)
Open Access
Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning
Mateo Gende, Joaquim de Moura, José Ignacio Fernández‐Vigo, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 2846-2859
Open Access | Times Cited: 9
Sensor data analysis and development of machine learning models for detection of glaucoma
Hubert Świerczyński, Juliusz Pukacki, Szymon Szczȩsny, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105350-105350
Closed Access | Times Cited: 9
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading
Zhiyuan Cai, Li Lin, Huaqing He, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022), pp. 1-4
Open Access | Times Cited: 13
In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade
Mingkai Guo, Di Gong, Weihua Yang
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
Julio Silva-Rodríguez, Pablo Salvador Zuriaga, Valery Naranjo, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 117946-117946
Open Access | Times Cited: 7
RETRACTED: Design and development of SER-UNet model for glaucoma image analysis
C Gobinath, M. P. Gopinath
Journal of Electronic Imaging (2022) Vol. 31, Iss. 04
Closed Access | Times Cited: 6
Deep learning and optical coherence tomography in glaucoma: Bridging the diagnostic gap on structural imaging
Atalie C. Thompson, Aurelio Falconi, Rebecca M. Sappington
Frontiers in Ophthalmology (2022) Vol. 2
Open Access | Times Cited: 6
Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging
Rafael Berenguer-Vidal, Rafael Verdú‐Monedero, Juan Morales‐Sánchez, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8027-8027
Open Access | Times Cited: 8
A Survey of Glaucoma Detection Algorithms using Fundus and OCT Images
Riley Kiefer, Jessica Steen, Muhammad Adeel Abid, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2022), pp. 0191-0196
Closed Access | Times Cited: 5
Classification of ocular diseases using transfer learning approaches and glaucoma severity grading
D. Selvathi
Elsevier eBooks (2023), pp. 1-15
Closed Access | Times Cited: 2
On Episodes, Prototypical Networks, and Few-shot Learning
Steinar Laenen, Luca Bertinetto
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Glaucoma detection model by exploiting multi-region and multi-scan-pattern OCT images with dynamical region score
Kai Liu, Jicong Zhang
Biomedical Optics Express (2024) Vol. 15, Iss. 3, pp. 1370-1370
Open Access
Research and Implementation of a Cloud-Based Glaucoma Auxiliary Diagnosis Platform
Peng Huang, Jian Zhang, Bei Liu, et al.
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 352-356
Closed Access
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images
Lorena Álvarez‐Rodríguez, Ana Pueyo, Joaquim de Moura, et al.
Artificial Intelligence in Medicine (2024) Vol. 158, pp. 103006-103006
Closed Access
Value of optical coherence tomography measurement of macular thickness and optic disc parameters for glaucoma screening in patients with high myopia
Hua Mu, Rui-Shu Li, Zhen Yin, et al.
World Journal of Clinical Cases (2023) Vol. 11, Iss. 14, pp. 3187-3194
Open Access | Times Cited: 1
Method Hand-Driven Used for Features Extraction in OCT B-Scan Images Processed
Fabricio Tipantocta, Óscar Wladimir Gómez Morales, Javier Cajas, et al.
Communications in computer and information science (2023), pp. 406-416
Closed Access | Times Cited: 1
ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading
Wenyun Li, Chi‐Man Pun
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Open Access | Times Cited: 1
Glaucoma Grading VIA Mean Defect Back Propagation From OCT Images
Elisa Ramírez, Rocío del Amor, Gabriel García, et al.
2021 29th European Signal Processing Conference (EUSIPCO) (2022), pp. 1278-1282
Closed Access | Times Cited: 1
Mstnet: method for glaucoma grading based on multimodal feature fusion of spatial relations
Zhizhou Wang, Jun Wang, Hongru Zhang, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 24, pp. 245002-245002
Closed Access
Machine learning strategies for diagnostic imaging support on histopathology and optical coherence tomography
José Gabriel García Pardo
(2022)
Open Access
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