A Deep Learning Architecture to Detect Events in EEG Signals During Sleep. - Stanislas Chambon; Valentin Thorey; Pierrick J. Arnal; Emmanuel Mignot; Alexandre Gramfort (MLSP, 2018)

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal. - Stanislas Chambon; Valentin Thorey; Pierrick J. Arnal; Emmanuel Mignot; Alexandre Gramfort (CoRR, 2018)

Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. - Alexander Neergaard Olesen; Stanislas Chambon; Valentin Thorey; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (EMBC, 2019)

AI vs Humans for the diagnosis of sleep apnea. - Valentin Thorey; Albert Bou Hernandez; Pierrick J. Arnal; Emmanuel H. During (EMBC, 2019)

Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging. - Antoine Guillot; Fabien Sauvet; Emmanuel H. During; Valentin Thorey (CoRR, 2019)

RobustSleepNet: Transfer learning for automated sleep staging at scale. - Antoine Guillot; Valentin Thorey (CoRR, 2021)