Multimodal Outcome Prediction for Post-TAVI Mortality Using Cardiac CT and CMR
Published:
Built an outcome-prediction pipeline using cardiac CT and CMR data to estimate post-TAVI mortality risk. Extracted segmentation-based imageomics features and applied SHAP and correlation analysis to identify anatomical predictors of adverse outcomes. Explored self-supervised pretraining (VoCo, masked autoencoders) for domain-specific representations under limited labeled data.
Keywords: Post-TAVI Mortality Prediction, Cardiac CT, CMR, Imageomics, SHAP Analysis, Self-Supervised Pretraining, VoCo