1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Honest and Reliable Evaluation and Expert Equivalence Testing of Automated Neonatal Seizure Detection
Jovana Kljajic, John M. O'Toole, Robert Hogan +1
Reliable evaluation of machine learning models for neonatal seizure detection is critical for clinical adoption. Current practices often rely on inconsistent and biased metrics, hi…
cs.LG2024
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…