The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. - Jens B. Stephansen; Aditya Ambati; Eileen B. Leary; Hyatt E. Moore IV; Oscar Carrillo; Ling Lin; Birgit Högl; Ambra Stefani; Seung Chul Hong; Tae Won Kim; Fabio Pizza; Giuseppe Plazzi; et al. (CoRR, 2017)

Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. - Alexander Neergaard Olesen; Poul Jennum; Paul E. Peppard; Emmanuel Mignot; Helge B. D. Sørensen (EMBC, 2018)

Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. - Andreas Brink-Kjaer; Alexander Neergaard Olesen; Paul E. Peppard; Katie L. Stone; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (CoRR, 2019)

Age estimation from sleep studies using deep learning predicts life expectancy. - Andreas Brink-Kjaer; Eileen B. Leary; Haoqi Sun; M. Brandon Westover; Katie L. Stone; Paul E. Peppard; Nancy E. Lane; Peggy M. Cawthon; Susan Redline; Poul Jennum; Helge B. D. Sørensen; Emmanuel Mignot (npj Digit. Medicine, 2022)