Alexander Neergaard Olesen, PhD, MSc
Position
Consultant
Deep Learning Methods for Clinical Sleep Analysis Currently: Postdoctoral Fellow in sleep machine learning, DTU, Denmark
Latest Publications
2021
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
Alexander Neergaard Olesen and Poul Jørgen Jennum and Emmanuel Mignot and Helge Bjarup Dissing Sorensen
2020
Automatic detection of cortical arousals in sleep and their contribution to daytime sleepiness
Andreas Brink-Kjaer and Alexander Neergaard Olesen and Paul E Peppard and Katie L Stone and Poul Jennum and Emmanuel Mignot and Helge BD Sorensen
2018
A comparative study of methods for automatic detection of rapid eye movement abnormal muscular activity in narcolepsy
Alexander Neergaard Olesen and Matteo Cesari and Julie Anja Engelhard Christensen and Helge Bjarup Dissing Sorensen and Emmanuel Mignot and Poul Jennum
2018
End-to-End deep learning model for automatic sleep staging using raw PSG waveforms
Alexander Neergaard Olesen and PE Peppard and HB Sorensen and PJ Jennum and E Mignot