Xiaoxia Xiao

CARE: Multimodal Alignment Learning for Ophthalmic Imaging via Joint Optimal-Transport Soft Matching and Graph Neural ODE Refinement.

A multimodal fundus disease diagnosis method based on progressive optimization of probabilistic correspondences is proposed, which achieves improved accuracy and Cohen's kappa under public benchmark settings, and demonstrates robustness under the evaluated noise perturbation and limited-data scenarios.