Maarten De Vos

Discriminating progressive supranuclear palsy from Parkinson's disease using wearable technology and machine learning.

Maarten De Vos, John Prince, Tim Buchanan, 2020, Gait & posture.

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Oliver Y. Chén, Maarten De Vos, Fernando Andreotti, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data

Sabine Van Huffel, Maarten De Vos, Anneleen Dereymaeker, 2018, IEEE Journal of Biomedical and Health Informatics.

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Oliver Y. Chén, Maarten De Vos, Fernando Andreotti, 2018, IEEE Transactions on Biomedical Engineering.

Impact of Different Acoustic Components on EEG-based Auditory Attention Decoding in Noisy and Reverberant Conditions

Simon Doclo, Maarten De Vos, Ali Aroudi, 2018, bioRxiv.

A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants

Sabine Van Huffel, Maarten De Vos, Kirubin Pillay, 2020, Journal of neural engineering.

Home monitoring of sleep with a temporary-tattoo EEG, EOG and EMG electrode array: a feasibility study

David Rand, Maarten De Vos, Anat Mirelman, 2019, Journal of neural engineering.

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data

Maarten De Vos, Fernando Andreotti, John Prince, 2019, IEEE Transactions on Biomedical Engineering.

Resting-state brain information flow predicts cognitive flexibility in humans

Maarten De Vos, Huy Phan, Oliver Y Chén, 2019, Scientific Reports.