We present a prompt based multimodal semantic segmentation on the basis of pertained single-modality RGB model

We propose Retrieval-Augmented Diagnosis (RAD), a holistic method that explicitly integrates disease-centered medical knowledge into multimodal diagnosis models.

This paper introduces a novel Multimodal Attention-based Normalizing Flow approach to developing explicit, interpretable, and tractable multimodal fusion learning