CardioBench is a new public benchmark that standardizes eight echocardiography datasets into four regression and five classification tasks to evaluate foundation model generalization.
Echofm: Foundation model for generalizable echocardiogram analysis.arXiv preprint arXiv:2410.23413
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LAMAE adds latent-space attention to masked autoencoders so multi-view echocardiography videos can exchange information across frames and views, yielding representations that transfer from adult to pediatric hearts and enable ICD-10 code prediction on MIMIC-IV-ECHO.
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CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
CardioBench is a new public benchmark that standardizes eight echocardiography datasets into four regression and five classification tasks to evaluate foundation model generalization.
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Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
LAMAE adds latent-space attention to masked autoencoders so multi-view echocardiography videos can exchange information across frames and views, yielding representations that transfer from adult to pediatric hearts and enable ICD-10 code prediction on MIMIC-IV-ECHO.