Dual-contrastive modality recovery for incomplete multi-modal brain disease diagnosis
Multi-modal learning is extensively applied to diagnose brain diseases such as epilepsy and Alzheimer's disease. However, incomplete multi-modal data, where some imaging modalities are unavailable or difficult to collect, limits the application of conventional methods. Additionally, existing approaches primarily focus...