REVEAL uses vision-language alignment of retinal morphometry and clinical risk narratives plus group contrastive learning to predict AD and dementia about 8 years early.
AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
A dual-edge graph fuses vessel-lesion geometry and embedding-biomarker sensitivity from four aligned streams to produce interpretable DR grades on APTOS images with 0.8076 accuracy.
citing papers explorer
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REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
REVEAL uses vision-language alignment of retinal morphometry and clinical risk narratives plus group contrastive learning to predict AD and dementia about 8 years early.
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A Dual Edge Spatial Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading
A dual-edge graph fuses vessel-lesion geometry and embedding-biomarker sensitivity from four aligned streams to produce interpretable DR grades on APTOS images with 0.8076 accuracy.
- retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers