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.
An mHealth monitoring system for traditional birth attendant-led antenatal risk assessment in rural Guatemala.Journal of Medical Engineering & Technology, 40(7-8):356–371
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.