most citedAutomated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusion

6 citations · 6 across the 3 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Cross-Modal Generative Framework for Signal Translation from Fetal-Maternal Electrocardiograms to Fetal Doppler Waveforms

Tongli Su, Alireza Rafiei, Marly van Assen +4

Fetal electrocardiogram (fECG) and Doppler ultrasound provide complementary views of fetal cardiovascular function: fECG captures electrical activity while Doppler reflects mechani…

cs.LG20266 cited

Automated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusion

Abdul Jabbar, Ethan Grooby, Yang Yi Poh +5

Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standard diagnostic method, is costl…

cs.RO2026

Quasi-Periodic Gaussian Process Predictive Iterative Learning Control

Unnati Nigam, Radhendushka Srivastava, Faezeh Marzbanrad +1

Repetitive motion tasks are common in robotics, but performance can degrade over time due to environmental changes and robot wear and tear. Iterative learning control (ILC) improve…

stat.ME2025

A structural equation formulation for general quasi-periodic Gaussian processes

Unnati Nigam, Radhendushka Srivastava, Faezeh Marzbanrad +1

This paper introduces a structural equation formulation that gives rise to a new family of quasi-periodic Gaussian processes, useful to process a broad class of natural and physiol…

cs.CV2025

Towards Objective Obstetric Ultrasound Assessment: Contrastive Representation Learning for Fetal Movement Detection

Talha Ilyas, Duong Nhu, Allison Thomas +13

Accurate fetal movement (FM) detection is essential for assessing prenatal health, as abnormal movement patterns can indicate underlying complications such as placental dysfunction…

eess.SP2025

FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification

Weitao Tang, Johann Vargas-Calixto, Nasim Katebi +5

Introduction: This study presents FetalSleepNet, the first published deep learning approach to classifying sleep states from the ovine electroencephalogram (EEG). Fetal EEG is comp…