Stanislas Chambon

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal

Stanislas Chambon, Valentin Thorey, Emmanuel Mignot, 2018, Journal of Neuroscience Methods.

POT: Python Optimal Transport

Nicolas Courty, Ievgen Redko, Stanislas Chambon, 2021, J. Mach. Learn. Res..

A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series

Stanislas Chambon, Gilles Wainrib, Alexandre Gramfort, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram

Stanislas Chambon, E. Mignot, P. Jennum, 2019, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Deep Learning Architecture to Detect Events in EEG Signals During Sleep

Stanislas Chambon, Valentin Thorey, Emmanuel Mignot, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Performance of an Ambulatory Dry-EEG Device for Auditory Closed-Loop Stimulation of Sleep Slow Oscillations in the Home Environment

Stanislas Chambon, V. Thorey, P. Arnal, 2018, Front. Hum. Neurosci..

Performance of an Ambulatory DRY-EEG Device for Auditory Closed-Loop Stimulations in the Home Environment

Stanislas Chambon, V. Thorey, P. Arnal, 2017, bioRxiv.

Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery

Joris Van den Bossche, B. Kégl, T. Bourgeron, 2021, NeuroImage.