A new hierarchical attention model with contrastive learning detects maternal hypertension from fetal hemodynamics in Doppler ultrasound at AUROC 0.80 on a large Guatemala dataset.
Real-time quality feedback on Doppler data for community midwives using edge-AI.Machine Learning: Health, 1(1):015014
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Multi-View Hierarchical Representation Learning of Fetal Hemodynamics for Maternal Hypertension Detection at the Edge
A new hierarchical attention model with contrastive learning detects maternal hypertension from fetal hemodynamics in Doppler ultrasound at AUROC 0.80 on a large Guatemala dataset.