Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
Mikhail Kulyabin, Aleksei Zhdanov, Anastasia Nikiforova, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Optical Coherence Tomography in Myocardial Infarction Management: Enhancing Precision in Percutaneous Coronary Intervention
Angela Buonpane, Giancarlo Trimarchi, Marco Ciardetti, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5791-5791
Open Access | Times Cited: 9
OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Mustafa Arikan, James Willoughby, Sevim Ongun, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reusable (FAIR) Principles
Nayoon Gim, A. M. Ferguson, Marian Blazes, et al.
Experimental Eye Research (2025), pp. 110342-110342
Closed Access | Times Cited: 1
Development and Validation of a Multimodal Multitask Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Jianing Qiu, Jian Wu, Hao Wei, et al.
NEJM AI (2024) Vol. 1, Iss. 12
Closed Access | Times Cited: 6
RD-OCT net: hybrid learning system for automated diagnosis of macular diseases from OCT retinal images
A Jeya Prabha, C Venkatesan, M. Sameera Fathimal, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 2, pp. 025033-025033
Closed Access | Times Cited: 4
A Survey on Optical Coherence Tomography—Technology and Application
Ali Mokhtari, Bogdan Maris, Paolo Fiorini
Bioengineering (2025) Vol. 12, Iss. 1, pp. 65-65
Open Access
Distributed training of foundation models for ophthalmic diagnosis
Sina Gholami, Fatema-E- Jannat, Atalie C. Thompson, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
Deep Learning to Distinguish Edema Secondary to Retinal Vein Occlusion and Diabetic Macular Edema: A Multimodal Approach Using OCT and Infrared Imaging
Guilherme Prado Barbosa, Eduardo Vieira de Carvalho, Ana Guerra, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 3, pp. 1008-1008
Open Access
HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification
Shivani Agarwal, Anand Kumar Dohare, Pranshu Saxena, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification
Mohamed Ahmed, Mohamed Shehata, Patricia Lasserre
Computers in Biology and Medicine (2025) Vol. 190, pp. 110071-110071
Open Access
Synthetic electroretinogram signal generation using a conditional generative adversarial network
Mikhail Kulyabin, Aleksei Zhdanov, Irene Lee, et al.
Documenta Ophthalmologica (2025)
Open Access
Automatic Detection and Prediction of nAMD Activity Change in Retinal OCT Using Siamese Networks and Wasserstein Distance for Ordinality
Taha Emre, Teresa Araújo, Marzieh Oghbaie, et al.
Lecture notes in computer science (2025), pp. 106-117
Closed Access
Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview
Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, et al.
Diagnostics (2024) Vol. 14, Iss. 15, pp. 1668-1668
Open Access | Times Cited: 3
Multimodal LLMs for Retinal Disease Diagnosis via OCT: Few-Shot vs Single-Shot Learning
Reem Agbareia, Mahmud Omar, Ofira Zloto, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Masked Image Modelling for Retinal OCT Understanding
Theodoros Pissas, Pablo Márquez-Neila, Sebastián Wolf, et al.
Lecture notes in computer science (2024), pp. 115-125
Closed Access | Times Cited: 1
Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy from Fundus Retinal Images: A Comprehensive Review
G.Kalaimathi Priya S.Rajarajeshwari, G. Chemmalar Selvi
IEEE Access (2024) Vol. 12, pp. 172499-172536
Open Access | Times Cited: 1
EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis
Ruoyu Chen, Weiyi Zhang, Bowen Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
A comprehensive review of retinal disease diagnosis and open access datasets: Fundus and OCT images
Zameer Fatima, Parneeta Dhaliwal, Deepak Gupta
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1695-1710
Closed Access
Segment Anything in Optical Coherence Tomography: SAM 2 for Volumetric Segmentation of Retinal Biomarkers
Mikhail Kulyabin, Aleksei Zhdanov, Andrey Pershin, et al.
Bioengineering (2024) Vol. 11, Iss. 9, pp. 940-940
Open Access
Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis
Yuanyuan Peng, Aidi Lin, Meng Wang, et al.
Cell Reports Medicine (2024), pp. 101876-101876
Open Access
Impact of Histogram Equalization on the Classification of Retina Lesions from OCT B-Scans
Tomasz Marciniak, Agnieszka Stankiewicz
Electronics (2024) Vol. 13, Iss. 24, pp. 4996-4996
Open Access
Fast inference in classification of optical coherence tomography (OCT) images for real-time retinal disease diagnosis
Asghar Rahmani, Mehdi Ghatee
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107365-107365
Closed Access
Page 1

Scroll to top