Latest Research in Computational Retinal Imaging Diagnostics

Top Research Topics in Computational Retinal Imaging Diagnostics

• Retinal Imaging and Analysis — 45 papers
• Computer Vision and Pattern Recognition — 18 papers
• Retinopathy of Prematurity Studies — 9 papers
• Retinal Diseases and Treatments — 5 papers
• Ophthalmology and Visual Impairment Studies — 4 papers
• Glaucoma and retinal disorders — 2 papers
• Ophthalmology and Eye Disorders — 2 papers
• Corneal surgery and disorders — 2 papers
• Quantitative Methods — 1 papers
• Intraocular Surgery and Lenses — 1 papers

Highest-Cited Papers

1. Artificial Intelligence-Assisted Community Eye Screening in Primary Healthcare: A Prospective Multicentre Diagnostic Accuracy and Implementation Study (1 citations)
2. A Novel Ensemble Deep Learning Framework and Feature Extraction for Diabetic Retinopathy Detection in the Internet of Things Environment
3. Deep learning–derived retinal age gap and its associations with lifestyle, systemic, and ocular health in a health screening cohort
4. A Fair Evaluation of Lightweight CNNs and Ordinal Regression for Diabetic Retinopathy Grading: The Double-Rebalancing Pitfall
5. Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
6. AI-DRIVEN OCULOMICS: RETINAL IMAGING BIOMARKERS FOR SYSTEMIC DISEASE - FROM CARDIOVASCULAR RISK TO NEURODEGENERATION AND FOUNDATION MODELS
7. DAVis-Net: A Dual-Attention Deep Supervision Framework for Reliable Retinal OCT Image Classification with Integrated Explainability and Uncertainty Quantification
8. Explainable Multimodal OCT and OCTA Analysis Reveals Structural and Vascular Features of Mild Glaucoma Across Ethnicities
9. Multi-modal machine and deep learning framework for integrated diagnosis and prognosis of diabetic retinopathy
10. Generalisation of a deep learning-based exophthalmometry system using facial photographs for non-thyroidal orbital disease
11. Evaluating an AI-assisted triage workflow for retinal diseases
12. Gestational age as the primary predictor of retinopathy of prematurity and treatment requirement
13. Automated Deep Learning Framework for Retinal Landmark Detection and Quantitative Retinal Zoning in Ultra-Widefield Fundus Photography
14. Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
15. Adaptive Optics Image Analysis Using Generative AI (GPT-4) Scripting: Exploratory Study
16. A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction
17. Retinal Image-Based Cardiovascular Risk Prediction Using Fractional Jellyfish Search Optimization-Enhanced Deep Learning
18. Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions
19. Clinical validation of an ultra-low-cost smartphone-based offline AI platform for glaucoma screening in low-resource settings
20. Adaptive noise and attention mechanisms based light-weight U-net based architecture for robust medical image denoising of retinal fundus images

Sub-Regions

• Retinal Imaging and Analysis — 57 papers
• Glaucoma and retinal disorders — 30 papers
• Retinopathy of Prematurity Studies — 22 papers