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:
Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis
Ronald Cheung, Jacob Chun, Tom Sheidow, et al.
Eye (2021) Vol. 36, Iss. 5, pp. 994-1004
Open Access | Times Cited: 27
Ronald Cheung, Jacob Chun, Tom Sheidow, et al.
Eye (2021) Vol. 36, Iss. 5, pp. 994-1004
Open Access | Times Cited: 27
Showing 1-25 of 27 citing articles:
Machine Learning Methods for Diagnosis of Eye-Related Diseases: A Systematic Review Study Based on Ophthalmic Imaging Modalities
Qaisar Abbas, Imran Qureshi, Junhua Yan, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3861-3918
Closed Access | Times Cited: 28
Qaisar Abbas, Imran Qureshi, Junhua Yan, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3861-3918
Closed Access | Times Cited: 28
Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences
Blake S. Wilson, Debara L. Tucci, David A. Moses, et al.
Journal of the Association for Research in Otolaryngology (2022) Vol. 23, Iss. 3, pp. 319-349
Open Access | Times Cited: 25
Blake S. Wilson, Debara L. Tucci, David A. Moses, et al.
Journal of the Association for Research in Otolaryngology (2022) Vol. 23, Iss. 3, pp. 319-349
Open Access | Times Cited: 25
The Predictive Capabilities of Artificial Intelligence-Based OCT Analysis for Age-Related Macular Degeneration Progression—A Systematic Review
George Adrian Muntean, Anca Marginean, Adrian Groza, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2464-2464
Open Access | Times Cited: 14
George Adrian Muntean, Anca Marginean, Adrian Groza, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2464-2464
Open Access | Times Cited: 14
Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review
Rüya Naz, Özlem Örsal
Journal of Evaluation in Clinical Practice (2025) Vol. 31, Iss. 3
Closed Access
Rüya Naz, Özlem Örsal
Journal of Evaluation in Clinical Practice (2025) Vol. 31, Iss. 3
Closed Access
Artificial intelligence for diagnosing exudative age-related macular degeneration
Chaerim Kang, Jui‐En Lo, Helen Zhang, et al.
Cochrane library (2024) Vol. 2024, Iss. 10
Closed Access | Times Cited: 2
Chaerim Kang, Jui‐En Lo, Helen Zhang, et al.
Cochrane library (2024) Vol. 2024, Iss. 10
Closed Access | Times Cited: 2
Artificial Intelligence Analysis of Biofluid Markers in Age-Related Macular Degeneration: A Systematic Review
Aidan Pucchio, Saffire H. Krance, Daiana R. Pur, et al.
Clinical ophthalmology (2022) Vol. Volume 16, pp. 2463-2476
Open Access | Times Cited: 12
Aidan Pucchio, Saffire H. Krance, Daiana R. Pur, et al.
Clinical ophthalmology (2022) Vol. Volume 16, pp. 2463-2476
Open Access | Times Cited: 12
The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review
Abhishek Vyas, Sundaresan Raman, Janani Surya, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 130-130
Open Access | Times Cited: 12
Abhishek Vyas, Sundaresan Raman, Janani Surya, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 130-130
Open Access | Times Cited: 12
Clinical effectiveness of screening for age-related macular degeneration: A systematic review
Dalila Fernandes Gomes, Daniel da Silva Pereira Curado, Rosângela Maria Gomes, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294398-e0294398
Open Access | Times Cited: 5
Dalila Fernandes Gomes, Daniel da Silva Pereira Curado, Rosângela Maria Gomes, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294398-e0294398
Open Access | Times Cited: 5
Emergence of non‐ artificial intelligence digital health innovations in ophthalmology: A systematic review
Rachel Marjorie Wei Wen Tseng, Yih‐Chung Tham, Tyler Hyungtaek Rim, et al.
Clinical and Experimental Ophthalmology (2021) Vol. 49, Iss. 7, pp. 741-756
Closed Access | Times Cited: 11
Rachel Marjorie Wei Wen Tseng, Yih‐Chung Tham, Tyler Hyungtaek Rim, et al.
Clinical and Experimental Ophthalmology (2021) Vol. 49, Iss. 7, pp. 741-756
Closed Access | Times Cited: 11
Detecting diabetic retinopathy using an artificial intelligence-based software platform: a pilot study
А. О. Невська, O. A. Pohosian, K. O. Goncharuk, et al.
Oftalmologicheskii Zhurnal (2024) Vol. 108, Iss. 1, pp. 27-31
Open Access | Times Cited: 1
А. О. Невська, O. A. Pohosian, K. O. Goncharuk, et al.
Oftalmologicheskii Zhurnal (2024) Vol. 108, Iss. 1, pp. 27-31
Open Access | Times Cited: 1
Enhancing Readability and Detection of Age-Related Macular Degeneration Using Optical Coherence Tomography Imaging: An AI Approach
Ahmad Alenezi, Hamad Alhamad, Ajit Brindhaban, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 300-300
Open Access | Times Cited: 1
Ahmad Alenezi, Hamad Alhamad, Ajit Brindhaban, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 300-300
Open Access | Times Cited: 1
Real-world effectiveness of screening programs for age-related macular degeneration: amended Japanese specific health checkups and augmented screening programs with OCT or AI
Hiroshi Tamura, Yoko Akune, Yoshimune Hiratsuka, et al.
Japanese Journal of Ophthalmology (2022) Vol. 66, Iss. 1, pp. 19-32
Closed Access | Times Cited: 7
Hiroshi Tamura, Yoko Akune, Yoshimune Hiratsuka, et al.
Japanese Journal of Ophthalmology (2022) Vol. 66, Iss. 1, pp. 19-32
Closed Access | Times Cited: 7
Automation of Macular Degeneration Classification in the AREDS Dataset, Using a Novel Neural Network Design
Li Xie, Ehsan Vaghefi, Song Yang, et al.
Clinical ophthalmology (2023) Vol. Volume 17, pp. 455-469
Open Access | Times Cited: 2
Li Xie, Ehsan Vaghefi, Song Yang, et al.
Clinical ophthalmology (2023) Vol. Volume 17, pp. 455-469
Open Access | Times Cited: 2
A promising approach with confidence level aggregation operators based on single-valued neutrosophic rough sets
Muhammad Kamran, Shahzaib Ashraf, Muhammad Shazib Hameed
Soft Computing (2023)
Closed Access | Times Cited: 2
Muhammad Kamran, Shahzaib Ashraf, Muhammad Shazib Hameed
Soft Computing (2023)
Closed Access | Times Cited: 2
The Rise of the Machines: Artificial Intelligence in Ophthalmology - A Boon or Bane?
İ̇brahim Edhem Yılmaz
Gaziantep Islam Science and Technology University (2024)
Closed Access
İ̇brahim Edhem Yılmaz
Gaziantep Islam Science and Technology University (2024)
Closed Access
Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases
Jinwei Yu, Fuqiang Li, Mingzhu Liu, et al.
Seminars in Ophthalmology (2024), pp. 1-9
Closed Access
Jinwei Yu, Fuqiang Li, Mingzhu Liu, et al.
Seminars in Ophthalmology (2024), pp. 1-9
Closed Access
Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms
Shangmei Cao, Shaozhe Yang, Bolin Chen, et al.
Renal Failure (2024) Vol. 46, Iss. 2
Open Access
Shangmei Cao, Shaozhe Yang, Bolin Chen, et al.
Renal Failure (2024) Vol. 46, Iss. 2
Open Access
Artificial intelligence for diagnosing exudative age-related macular degeneration
Chaerim Kang, John C. Lin, Helen Zhang, et al.
Cochrane library (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 1
Chaerim Kang, John C. Lin, Helen Zhang, et al.
Cochrane library (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 1
Investigating Opthalmic images to Diagnose Eye diseases using Deep Learning Techniques
Shalini Agarwal, Aruna Bhat
(2022), pp. 973-979
Closed Access | Times Cited: 2
Shalini Agarwal, Aruna Bhat
(2022), pp. 973-979
Closed Access | Times Cited: 2
Labelling of data on fundus color pictures used to train a deep learning model enhances its macular pathology recognition capabilities
KhP Takhchidi, П. В. Глизница, S N Svetozarskiy, et al.
Bulletin of Russian State Medical University (2021), Iss. 2021(4)
Open Access | Times Cited: 2
KhP Takhchidi, П. В. Глизница, S N Svetozarskiy, et al.
Bulletin of Russian State Medical University (2021), Iss. 2021(4)
Open Access | Times Cited: 2
Actualización en Oft�almología Tomo 3
Andrea Alejandra Villavicencio Rodríguez, Germán David Puetate Yandún, Lissette Verónica Gavín Barros, et al.
Juan Cuevas eBooks (2023)
Open Access
Andrea Alejandra Villavicencio Rodríguez, Germán David Puetate Yandún, Lissette Verónica Gavín Barros, et al.
Juan Cuevas eBooks (2023)
Open Access
Machine Learning Algorithms for the Analysis of Age-Related Macular Degeneration Based on Optical Coherence Tomography: a Systematic Review
Ekaterina A. Lopukhova, Rada R. Ibragimova, Gulnaz M. Idrisova, et al.
Journal of Biomedical Photonics & Engineering (2023), pp. 020202-020202
Open Access
Ekaterina A. Lopukhova, Rada R. Ibragimova, Gulnaz M. Idrisova, et al.
Journal of Biomedical Photonics & Engineering (2023), pp. 020202-020202
Open Access
Guía Esencial de Medicina Interna en el Primer Nivel de Atención Tomo 9
Jery Estefano Maldonado Piña, Jhon Alexander Ponce Alencastro, María del Carmen Olaya Del Rosario, et al.
Juan Cuevas eBooks (2023)
Open Access
Jery Estefano Maldonado Piña, Jhon Alexander Ponce Alencastro, María del Carmen Olaya Del Rosario, et al.
Juan Cuevas eBooks (2023)
Open Access
Uncertainty Quantification of Text Classification in a Multi-Label Setting for Risk-Sensitive Systems
Jinha Hwang, Carol Eunice Gudumotu, Benyamin Ahmadnia
(2023), pp. 541-547
Open Access
Jinha Hwang, Carol Eunice Gudumotu, Benyamin Ahmadnia
(2023), pp. 541-547
Open Access
Razmetka cvetnyh fotografij glaznogo dna uluchshaet raspoznavanie makulyarnoj patologii s pomoshch'yu glubokogo obucheniya
Х. П. Тахчиди, П. В. Глизница, С. Н. Светозарский, et al.
Вестник Российского государственного медицинского университета (2021), Iss. 2021(4)
Open Access
Х. П. Тахчиди, П. В. Глизница, С. Н. Светозарский, et al.
Вестник Российского государственного медицинского университета (2021), Iss. 2021(4)
Open Access
