Toward automated neonatal EEG analysis: multi-center validation of a reliable deep learning pipeline
NeoNaid demonstrated improved reliability through integrated quality control and maintained performance across two independent datasets. By focusing on validation and trustworthiness, this work takes an essential step toward clinical adoption of automated neonatal EEG analysis and supports its utility for both NICU practice and large-scale research.
Authors
- Caroline Hartley (ORCID: https://orcid.org/0000-0002-7981-0836)
- A Dereymaeker (ORCID: https://orcid.org/0000-0003-3923-1298)
- Maarten De Vos (ORCID: https://orcid.org/0000-0002-3482-5145)
- Shellie Robinson
- Gunnar Naulaers
- Fatima Usman
- Katrien Lemmens
- Tim Hermans
Institutions
- University of Oxford (GB)
- Dynamic Systems (United States) (US)
- KU Leuven (BE)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fnins.2026.1750045
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission