StenCE uses cross-modal contrastive learning on paired ECG-angiography data to learn ECG features that classify severe coronary stenosis, reporting the first high performance on this task.
Computa- tional and Structural Biotechnology Journal27, 278–286 (2025).https://doi
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Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification
StenCE uses cross-modal contrastive learning on paired ECG-angiography data to learn ECG features that classify severe coronary stenosis, reporting the first high performance on this task.