1 citations · 1 across the 2 of their papers we have counts for
3 papers
Expert-level detection of low-voltage intervals in EEG as a robust biomarker of neonatal encephalopathy
John M. O'Toole, Sean R. Mathieson, Aurel Luca +4
Background: Discontinuity in neonatal EEG is a critical marker of brain dysfunction but can be difficult to quantify visually. Inter-burst intervals (IBIs) are a key characteristic…
Machine-learning competition to grade EEG background patterns in newborns with hypoxic-ischaemic encephalopathy
Fabio Magarelli, Geraldine B. Boylan, Saeed Montazeri +5
Machine learning (ML) has the potential to support and improve expert performance in monitoring the brain function of at-risk newborns. Developing accurate and reliable ML models d…
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
Robert Hogan, Sean R. Mathieson, Aurel Luca +4
Background: Neonatal seizures are a neurological emergency that require urgent treatment. They are hard to diagnose clinically and can go undetected if EEG monitoring is unavailabl…