EEG-based deep learning estimates preterm infants’ cerebral age: Contribution of slow-wave and cross-frequency coupling
- DOI
- 10.1016/j.isci.2026.118052
- Published
- 2026-11
- Container
- iScience
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.118052,
title = {EEG-based deep learning estimates preterm infants’ cerebral age: Contribution of slow-wave and cross-frequency coupling},
author = {Alban Gallard and Alexander Billiot and Émilie Bourel-Ponchel and Pauline Brunel and Christèle Chazal and Guy Kongolo and Ghida Ghostine and Fabrice Wallois and Laura Routier and Sahar Moghimi},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.118052},
url = {https://doi.org/10.1016/j.isci.2026.118052}
}RIS
TY - JOUR TI - EEG-based deep learning estimates preterm infants’ cerebral age: Contribution of slow-wave and cross-frequency coupling AU - Alban Gallard AU - Alexander Billiot AU - Émilie Bourel-Ponchel AU - Pauline Brunel AU - Christèle Chazal AU - Guy Kongolo AU - Ghida Ghostine AU - Fabrice Wallois AU - Laura Routier AU - Sahar Moghimi PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.118052 UR - https://doi.org/10.1016/j.isci.2026.118052 ER -
APA
Gallard, A., Billiot, A., Bourel-Ponchel, É., Brunel, P., Chazal, C., Kongolo, G., Ghostine, G., Wallois, F., Routier, L., & Moghimi, S. (2026). EEG-based deep learning estimates preterm infants’ cerebral age: Contribution of slow-wave and cross-frequency coupling. iScience. https://doi.org/10.1016/j.isci.2026.118052
Source records
- crossref · retrieved 2026-11-07T19:07:41.758Z