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Maarten De Vos

University of Oxford, Institute of Biomedical Engineering, Dept. Engineering Sciences, Oxford, UK

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones


Mar 16, 2021
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos


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Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach


Feb 24, 2021
Eoin Brophy, Maarten De Vos, Geraldine Boylan, Tomas Ward


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Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation


Aug 21, 2020
Tim De Ryck, Maarten De Vos, Alexander Bertrand


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XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging


Jul 17, 2020
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos

* 12 pages, 6 figures, funding sources updated 

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Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization


May 11, 2020
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos

* This article has been published in Physiological Measurement 

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Improving GANs for Speech Enhancement


Jan 15, 2020
Huy Phan, Ian V. McLoughlin, Lam Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins


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Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning


Jul 30, 2019
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos

* Under review 

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Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch


Apr 11, 2019
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos

* Submitted to EUSIPCO 2019 

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Spatio-Temporal Attention Pooling for Audio Scene Classification


Apr 06, 2019
Huy Phan, Oliver Y. Chén, Lam Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins

* Submitted to Interspeech 2019 

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Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis


Nov 12, 2018
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos

* 20 pages, 3 figures 

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Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?


Nov 02, 2018
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos

* Submitted to ICASSP 2019 

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Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks


Nov 02, 2018
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos

* Submitted to ICASSP 2019 

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


Oct 01, 2018
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos

* This work has been submitted to the IEEE for possible publication. Link to the source code updated 

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A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age


Sep 19, 2018
Kirubin Pillay, Maarten De Vos

* 5 pages, 2 figures. Submitted for Neural Information Processing (NIPS) conference workshop on Machine Learning for Health (ML4H), Long Beach, CA, USA, 2017 

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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification


Sep 04, 2018
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos

* This work has been submitted to the IEEE for possible publication. Changes in this version include additional experiments on Sleep-EDF Expanded, comparison with ensemble methods, as well as several other minor changes. Source code is available online 

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Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization


Jun 29, 2015
Yipeng Liu, Maarten De Vos, Sabine Van Huffel

* 11 pages, 3 figures; accepted by IEEE Transactions on Biomedical Engineering 

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Multi-Sparse Signal Recovery for Compressive Sensing


Jun 04, 2012
Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel

* 4 pages, 7 figures; accepted by The 34th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2012) 

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