Summary
CardioNets learns a shared latent space between 12-lead ECG and cardiac MRI (CMR) via cross-modal contrastive learning. Trained on ~159,819 samples (UK Biobank, MIMIC-IV, external). Enables the model to predict CMR-level structural/functional measurements and generate synthetic CMR images from ECG alone — "virtual cardiac imaging."