Latest Research in Retinal Imaging and Analysis

Top Research Topics in Retinal Imaging and Analysis

• Retinal Imaging and Analysis — 31 papers
• Computer Vision and Pattern Recognition — 15 papers
• Retinal Diseases and Treatments — 3 papers
• Corneal surgery and disorders — 2 papers
• Quantitative Methods — 1 papers
• Machine Learning — 1 papers
• Ophthalmology and Visual Impairment Studies — 1 papers
• Image and Video Processing — 1 papers
• Advanced Computing and Algorithms — 1 papers
• Ocular Diseases and Behçet’s Syndrome — 1 papers

Highest-Cited Papers

1. A Novel Ensemble Deep Learning Framework and Feature Extraction for Diabetic Retinopathy Detection in the Internet of Things Environment
2. A Fair Evaluation of Lightweight CNNs and Ordinal Regression for Diabetic Retinopathy Grading: The Double-Rebalancing Pitfall
3. Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
4. DAVis-Net: A Dual-Attention Deep Supervision Framework for Reliable Retinal OCT Image Classification with Integrated Explainability and Uncertainty Quantification
5. Multi-modal machine and deep learning framework for integrated diagnosis and prognosis of diabetic retinopathy
6. Automated Deep Learning Framework for Retinal Landmark Detection and Quantitative Retinal Zoning in Ultra-Widefield Fundus Photography
7. Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
8. Retinal Image-Based Cardiovascular Risk Prediction Using Fractional Jellyfish Search Optimization-Enhanced Deep Learning
9. Clinical validation of an ultra-low-cost smartphone-based offline AI platform for glaucoma screening in low-resource settings
10. Adaptive noise and attention mechanisms based light-weight U-net based architecture for robust medical image denoising of retinal fundus images
11. AMCOS-Net: a novel attention-based multimodal fusion architecture for automated corneal opacity segmentation
12. Decomposing Cross-Modality Failure in Diabetic Retinopathy Grading
13. Decomposing Cross-Modality Failure in Diabetic Retinopathy Grading
14. Automated Volumetric Segmentation of Microaneurysms on OCT Using Artificial Intelligence
15. Knowledge Distillation and Explainability Analysis for Lightweight Retinal Disease Classification Using MultiEYE Fundus Images
16. Retinal vascular biomarker concept learning with multimodal fusion for cardiovascular disease detection
17. Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce
18. An Ultra-Widefield Swept-Source OCTA Dataset and a Polar-Gated Mamba Network for Retinal Vessel Segmentation
19. Triple-Path Kolmogorov–Arnold Networks with Deep Mutual Learning for Robust Retinal Microvascular Segmentation
20. Image-Based Identification of Ophthalmic Lens Optical Characteristics: A Benchmark of Local Texture Descriptors for Non-Destructive Optical Inspection