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Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Fluorescein Angiographic Study of Macular Dysfunction Secondary to Retinal Vascular Disease
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A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images
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Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
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OCT Angiography Biomarkers for Predicting Visual Outcomes after Ranibizumab Treatment for Diabetic Macular Edema
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Optical coherence tomography angiography characteristics in diabetic patients without clinical diabetic retinopathy
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Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
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Deep learning algorithm predicts diabetic retinopathy progression in individual patients
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Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
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DETECTION OF MICROVASCULAR CHANGES IN EYES OF PATIENTS WITH DIABETES BUT NOT CLINICAL DIABETIC RETINOPATHY USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY
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QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY
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A novel approach to diagnose diabetes based on the fractal characteristics of retinal images
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Quantitative assessment of the retinal microvasculature using optical coherence tomography angiography
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Quantitative artery-vein analysis in optical coherence tomography angiography of diabetic retinopathy
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An Innovative Australian Outreach Model of Diabetic Retinopathy Screening in Remote Communities
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Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail
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Imaging Foveal Microvasculature: Optical Coherence Tomography Angiography Versus Adaptive Optics Scanning Light Ophthalmoscope Fluorescein Angiography
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Fractal Dimensional Analysis of Optical Coherence Tomography Angiography in Eyes With Diabetic Retinopathy
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Comparison of Neovascular Lesion Area Measurements From Different Swept-Source OCT Angiographic Scan Patterns in Age-Related Macular Degeneration
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs
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Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images
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Biomarkers of Peripheral Nonperfusion in Retinal Venous Occlusions Using Optical Coherence Tomography Angiography
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Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm
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Retinal Imaging Techniques for Diabetic Retinopathy Screening
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Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning
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Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy
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Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography
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Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
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MEDnet, a neural network for automated detection of avascular area in OCT angiography
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Ultrahigh-Speed Swept-Source OCT Angiography in Exudative AMD
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Characterisation of human non-proliferative diabetic retinopathy using the fractal analysis.
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
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Overfitting Mechanism and Avoidance in Deep Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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SDCSCF ‐Net: A High‐Performance Spatial Channel Fusion Attention Network for Diabetic Retinopathy Classification
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BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images
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An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
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Smart Healthcare System for Detection of Diabetic Retinopathy Using Transfer Learning
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Advances in Diabetic Retinopathy Detection: A Comprehensive Review
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Artificial Intelligence in the Management of Diabetic Macular Edema
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TSNet: Task-specific network for joint diabetic retinopathy grading and lesion segmentation of ultra-wide optical coherence tomography angiography images
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Deep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy
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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
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Artificial intelligence in choroid through optical coherence tomography: a comprehensive review
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Convolutional neural network algorithms in diabetic retinopathy: how far does it go?
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A novel deep learning approach for diabetic retinopathy classification using optical coherence tomography angiography
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Optical coherence tomography image based eye disease detection using deep convolutional neural network
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DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis
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STMF-DRNet: A multi-branch fine-grained classification model for diabetic retinopathy using Swin-TransformerV2
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SC-MSDNet: Spatial-consistent multi-view self-distillation for retinal OCT classification
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Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey
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Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review
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Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network
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Harnessing deep learning for detection of diabetic retinopathy in geriatric group using optical coherence tomography angiography-OCTA: A promising approach
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Phase-compensated differential optical coherence tomography angiography algorithm based on frequency-domain scale-decorrelation information fusion
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ARTFuse-Net: Reliable OCT–OCTA multi-view fusion for structured retinal disease classification
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Macular and peripapillary optical coherence tomography angiography metrics in thyroid-associated ophthalmopathy with chorioretinal folds
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Image processing and quantification analysis for optical coherence tomography angiography in epiretinal membrane
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Duration-dependent decoupling of the macular neurovascular unit in type 2 diabetes without retinopathy: A topographic analysis using ultra-widefield OCT angiography
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Artificial intelligence in OCT angiography
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Optical coherence tomography angiography in diabetic retinopathy: A major review
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Deep-Learning–Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT
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Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis
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Optical coherence tomography angiography in neovascular age-related macular degeneration: comprehensive review of advancements and future perspective
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Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
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Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
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Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images
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Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy
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An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography
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Deep learning-based optical coherence tomography angiography image construction using spatial vascular connectivity network
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Artificial Intelligence for Diabetes-related Complications: The Eye as a Window to the Systemic Health
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Applications of Artificial Intelligence in Optical Coherence Tomography Angiography Imaging
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Classification of monkeypox images using Al-Biruni earth radius optimization with deep convolutional neural network
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Deep Learning-Based Optical Coherence Tomography and Optical Coherence Tomography Angiography Image Analysis: An Updated Summary
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Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods
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GlauNet: Glaucoma Diagnosis for OCTA Imaging Using a New CNN Architecture
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GenVFNet: Generating Visual Field From Optical Coherence Tomography Angiography by Conditional Generative Adversarial Networks
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Automated Diagnosis of Retinal Diseases from OCT Images Using ResNet-18
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Performance Analysis of Training Optimizers on Diabetic Retinopathy Detection Using SP-Net CNN
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Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images
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OCTA-based AMD Stage Grading Enhancement via Class-Conditioned Style Transfer
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Reliable Densely Connected Network with Machine Learning based Diabetic Retinopathy Grading Approach
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Advancing Automated Screening: A Comprehensive Synthesis of Deep Learning Innovations and Clinical Translation in Diabetic Retinopathy Detection (2017-2025)
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Detection of Diabetic Retinopathy using Transfer Learning
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A Promising Prediction of Diabetes Using a Deep Learning Approach
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Data Fusion Based Ensemble Transfer Learning Approach to Detect Diabetic Retinopathy
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Detecting Diabetic Retinopathy using ResNet50 and Explainable AI
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Robust AMD Stage Grading with Exclusively OCTA Modality Leveraging 3D Volume
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Retina Diseases Identification With OCT Images Using Transfer Learning
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An Approach Using Transfer Learning to Disclose Diabetic Retinopathy in Early Stage
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Quantum Transfer Learning for Diagnosis of Diabetic Retinopathy
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Federated Transfer Learning For Diabetic Retinopathy Detection Using CNN Architectures
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Interpretable Diabetic Retinopathy Diagnosis Based on Biomarker Activation Map
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Deep-learning approach for automated thickness measurement of epithelial tissue and scab using optical coherence tomography
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Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity
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Retinal vascular connectivity network for deep learning OCTA construction from single OCT volume scan
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Multi-fusion strategies for deep learning artery and vein segmentation in OCT angiography
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Deep learning for automated diagnosis of uveal melanoma
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Retinal feature analysis from AI-driven OCT to OCTA translation
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Multimodal knowledge distillation-guided artery-vein segmentation network for OCT/OCTA images
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A Self-Supervised Model Advance OCTA Image Disease Diagnosis
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Screening for Diabetic Retinopathy Using an Automated Diagnostic System Based on Deep Learning: Diagnostic Accuracy Assessment
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Cotton-wool spots, red-lesions and hard-exudates distinction using CNN enhancement and transfer learning
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Convolution neural network model for fundus photograph quality assessment
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Retinal lesions classification for diabetic retinopathy using custom ResNet-based classifier
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Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy
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A Diabetic Retinopathy Classification Framework Based on Deep-Learning Analysis of OCT Angiography
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Deep Learning-Based System for Disease Screening and Pathologic Region Detection From Optical Coherence Tomography Images
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Normalized Blood Flow Index in Optical Coherence Tomography Angiography Provides a Sensitive Biomarker of Early Diabetic Retinopathy
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Convolutional Neural Network–Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease
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Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review
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Machine learning in optical coherence tomography angiography
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Emerging imaging developments in experimental vision sciences and ophthalmology
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A practical guide to optical coherence tomography angiography interpretation
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Lesion-Aware Ordinal Transformer for Diabetic Retinopathy Classification from Fundus Images
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MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography
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OCT angiography and its retinal biomarkers [Invited]
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Optimizing the OCTA layer fusion option for deep learning classification of diabetic retinopathy
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Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy
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OCTA-ReVA + AV : an open-source toolbox for retinal artery–vein segmentation and analysis in OCT angiography
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Rapid classification of glaucomatous fundus images
inferred← citeshttps://doi.org/10.1364/oe.430508openalex-snapshot
Multicolor image classification using the multimodal information bottleneck network (MMIB-Net) for detecting diabetic retinopathy
inferred← citeshttps://doi.org/10.1364/opticaopen.23639007.v1openalex-snapshot
Optimizing OCTA layer fusion option for deep learning classification of diabetic retinopathy
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Differential Artery–Vein Analysis Improves OCTA Classification of Diabetic Retinopathy
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Multi-Spectrum Information Bottleneck Network (MIBN) for Classification of Diabetic Retinopathy on the Basis of Multicolor Image
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Detection and Diagnosis of Diabetic Retinopathy Using Transfer Learning Approach
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Quantitative characterization of retinal features in translated OCTA
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Artificial intelligence in the diagnosis of uveal melanoma: advances and applications
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The application of artificial intelligence in diabetic retinopathy: progress and prospects
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Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
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Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy
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Recent advances and applications of optical coherence tomography angiography in diabetic retinopathy
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Diffusion model based OCT to OCTA translation
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Choroidal Neovascularization Screening on OCT-Angiography Choriocapillaris Images by Convolutional Neural Networks
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Classification and Segmentation of Diabetic Retinopathy: A Systemic Review
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Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance
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Optical Coherence Tomography Angiography in Diabetic Patients: A Systematic Review
inferred← citeshttps://doi.org/10.3390/biomimetics8030313openalex-snapshot
Diagnosis of Monkeypox Disease Using Transfer Learning and Binary Advanced Dipper Throated Optimization Algorithm
inferred← citeshttps://doi.org/10.3390/diagnostics12020461openalex-snapshot
A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model
inferred← citeshttps://doi.org/10.3390/diagnostics13020326openalex-snapshot
Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.3390/diagnostics13091620openalex-snapshot
Optical Coherence Tomography Angiography in Retinal Vascular Disorders
inferred← citeshttps://doi.org/10.3390/diagnostics13172770openalex-snapshot
Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy
inferred← citeshttps://doi.org/10.3390/diagnostics14020121openalex-snapshot
Interpretable Detection of Diabetic Retinopathy, Retinal Vein Occlusion, Age-Related Macular Degeneration, and Other Fundus Conditions
inferred← citeshttps://doi.org/10.3390/diagnostics15060737openalex-snapshot
Advancing Diabetic Retinopathy Screening: A Systematic Review of Artificial Intelligence and Optical Coherence Tomography Angiography Innovations
inferred← citeshttps://doi.org/10.3390/jcm10245742openalex-snapshot
Deep Learning to Distinguish ABCA4-Related Stargardt Disease from PRPH2-Related Pseudo-Stargardt Pattern Dystrophy
inferred← citeshttps://doi.org/10.3390/s22062342openalex-snapshot
Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques
inferred← citeshttps://doi.org/10.3390/s22207833openalex-snapshot
Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images
inferred← citeshttps://doi.org/10.3390/s23041783openalex-snapshot
Monkeypox Detection Using CNN with Transfer Learning
inferred← citeshttps://doi.org/10.3390/s23125393openalex-snapshot
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images
inferred← citeshttps://doi.org/10.3390/s23187919openalex-snapshot
CAT-CBAM-Net: An Automatic Scoring Method for Sow Body Condition Based on CNN and Transformer
inferred← citeshttps://doi.org/10.4236/jsea.2025.181001openalex-snapshot
Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning
inferred← citeshttps://doi.org/10.48084/etasr.6033openalex-snapshot
A Deep Learning Grading Classification of Diabetic Retinopathy on Retinal Fundus Images with Bio-inspired Optimization
inferred← citeshttps://doi.org/10.5662/wjm.v14.i2.92267openalex-snapshot
Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence
inferred← citeshttps://doi.org/10.70675/c91ca688z6e2bz4a95z8352z3fb56d44ab7copenalex-snapshot
Deep learning applications for the diagnosis of retinal inherited diseases using fundus autofluorescence imaging
inferred← citeshttps://doi.org/10.7759/cureus.76746openalex-snapshot
Quantifying the Characteristics of Diabetic Retinopathy in Macular Optical Coherence Tomography Angiography Images: A Few-Shot Learning and Explainable Artificial Intelligence Approach
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