retinal imaging

Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026 REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction MIDL 2026 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement WACV 2025 CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement WACV 2025 Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales MIDL 2025 Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation WACV 2025 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024 SuperJunction: Learning-Based Junction Detection for Retinal Image Registration AAAI 2024 Expert-Defined Keywords Improve Interpretability of Retinal Image Captioning WACV 2023 Non-Local Attention Improves Description Generation for Retinal Images WACV 2022 Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks MIDL 2020 Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing MIDL 2020 Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation CVPR 2020 Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography MIDL 2019 Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study AAAI 2019 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014