Deep Learning-Based Multimodal Fusion for Early Prediction of Cardiovascular Risk Using Clinical and Imaging Data
This work proposes a multimodal deep fusion framework with attention for high accurate cardiovascular risk stratification using the integration of medical images and clinical data and demonstrates that this adaptive fusion strategy outperforms simple concatenation baselines.