Maarten De Vos

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 105

Top Venues

CoRR

EMBC

IEEE Trans. Biomed. Eng.

NeuroImage

Publications

Nick Seeuws, Maarten De Vos, Alexander Bertrand
Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. IEEE Trans. Biomed. Eng. 71 (8) (2024)
Joran Michiels, Johan A. K. Suykens, Maarten De Vos
Explaining the model and feature dependencies by decomposition of the Shapley value. Decis. Support Syst. 182 (2024)
Jingwei Zhang, Lauren Swinnen, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos
Learning Robust Representations of Tonic-Clonic Seizures With Cyclic Transformer. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. Comput. Biol. Medicine 171 (2024)
Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris
Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Arne De Brabandere, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos, Jesse Davis
Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features. IEEE Trans. Biomed. Eng. 71 (1) (2024)
Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38 (2) (2024)
Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
Correction: A semi‑supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38 (2) (2024)
Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos
Improving Multimodal Learning with Multi-Loss Gradient Modulation. CoRR (2024)
Joran Michiels, Maarten De Vos, Johan A. K. Suykens
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions. CoRR (2023)
Oliver Y. Chén, Julien S. Bodelet, Raúl G. Saraiva, Huy Phan, Junrui Di, Guy Nagels, Tom Schwantje, Hengyi Cao, Jiangtao Gou, Jenna M. Reinen, Bin Xiong, Bangdong Zhi, Xiaojun Wang, Maarten De Vos
The roles, challenges, and merits of the p value. Patterns 4 (12) (2023)
Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris
From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research. CoRR (2023)
Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging. CoRR (2023)
Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza
Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. SSCI (2023)
Konstantinos Kontras, Christos Chatzichristos, Huy Phan, Johan A. K. Suykens, Maarten De Vos
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. CoRR (2023)
Oliver Y. Chén, Duy Thanh Vu, Gilbert Greub, Hengyi Cao, Xingru He, Yannick Muller, Constantinos Petrovas, Haochang Shou, Viet-Dung Nguyen, Bangdong Zhi, Laurent Perez, Jean Louis Raisaro, Guy Nagels, Maarten De Vos, Wei He, Raphael Gottardo, Palie Smart, Marcus Munafò, Giuseppe Pantaleo
The Statistical Analysis of the Varying Brain. SSP (2023)
Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza
Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks. NER (2023)
Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
A Novel Loss for Change Point Detection Models With Time-Invariant Representations. IEEE Signal Process. Lett. 30 (2023)
Christos Chatzichristos, Miguel Bhagubai, Wim Van Paesschen, Maarten De Vos
Epilepsy Detection Grand Challenge. ICASSP (2023)
Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. CoRR (2023)
Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Angeliki-Ilektra Karaiskou, Carolina Varon, Kaat Alaerts, Maarten De Vos
Cross-Subject Mindfulness Meditation EEG Decoding. MetroXRAINE (2023)
Joran Michiels, Maarten De Vos, Johan A. K. Suykens
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value. CoRR (2023)
Huy Phan, Elisabeth R. M. Heremans, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. ICASSP (2023)
Eoin Brophy, Bryan M. Hennelly, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function. IEEE Access 10 (2022)
Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Amir Hossein Ansari, Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos
A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels. IEEE J. Biomed. Health Informatics 26 (3) (2022)
Elisabeth R. M. Heremans, Huy Phan, Amir Hossein Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos
Feature matching as improved transfer learning technique for wearable EEG. Biomed. Signal Process. Control. 78 (2022)
Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION (2022)
Chuanhao Zhang, Wenwen Yu, Yamei Li, Hongqiang Sun, Yuan Zhang, Maarten De Vos
CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Kaare B. Mikkelsen, Huy Phan, Mike Lind Rank, Martin Christian Hemmsen, Maarten De Vos, Preben Kidmose
Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Trans. Biomed. Eng. 69 (8) (2022)
William Do, Richard Russell, Christopher Wheeler, Megan Lockwood, Maarten De Vos, Ian Pavord, Mona Bafadhel
Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study. Sensors 22 (19) (2022)
Elisabeth R. M. Heremans, Trui Osselaer, Nick Seeuws, Huy Phan, Dries Testelmans, Maarten De Vos
Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. BHI (2022)
Nick Seeuws, Maarten De Vos, Alexander Bertrand
EventNet: Detecting Events in EEG. CoRR (2022)
Nick Seeuws, Maarten De Vos, Alexander Bertrand
Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis
Semi-supervised Change Point Detection Using Active Learning. DS (2022)
Elisabeth R. M. Heremans, Huy Phan, Amir Hossein Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos
Feature matching as improved transfer learning technique for wearable EEG. CoRR (2022)
Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. CoRR (2021)
Oliver Y. Chén, Hengyi Cao, Huy Phan, Guy Nagels, Jenna M. Reinen, Jiangtao Gou, Tianchen Qian, Junrui Di, John Prince, Tyrone D. Cannon, Maarten De Vos
Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. NeuroImage 226 (2021)
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. 68 (6) (2021)
Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs. IEEE Access 9 (2021)
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification. CoRR (2021)
Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. Sensors 21 (18) (2021)
Thijs Becker, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk Valkenborg, Sabine Van Huffel, Maarten De Vos
Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Sensors 21 (4) (2021)
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. CoRR (2021)
Tim De Ryck, Maarten De Vos, Alexander Bertrand
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation. IEEE Trans. Signal Process. 69 (2021)
Christos Chatzichristos, José Felipe Golib Dzib, Andries Clinckaert, Wouter Everaerts, Maarten De Vos, Martine Lewi
A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database. COPA (2021)
Oliver Y. Chén, Florian Lipsmeier, Huy Phan, John Prince, Kirsten I. Taylor, Christian Gossens, Michael Lindemann, Maarten De Vos
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Trans. Biomed. Eng. 67 (12) (2020)
Tim De Ryck, Maarten De Vos, Alexander Bertrand
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation. CoRR (2020)
Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. CoRR (2020)
Oliver Carr, Fernando Andreotti, Kate E. A. Saunders, Niclas Palmius, Guy M. Goodwin, Maarten De Vos
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. CoRR (2020)
Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
Improving GANs for Speech Enhancement. IEEE Signal Process. Lett. 27 (2020)
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. CoRR (2020)
Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
Improving GANs for Speech Enhancement. CoRR (2020)
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. CoRR (2019)
Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
Spatio-Temporal Attention Pooling for Audio Scene Classification. CoRR (2019)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Amir Hossein Ansari, Perumpillichira J. Cherian, Alexander Caicedo, Gunnar Naulaers, Maarten De Vos, Sabine Van Huffel
Neonatal Seizure Detection Using Deep Convolutional Neural Networks. Int. J. Neural Syst. 29 (4) (2019)
Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
Spatio-Temporal Attention Pooling for Audio Scene Classification. INTERSPEECH (2019)
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. EUSIPCO (2019)
Borbála Hunyadi, Mark W. Woolrich, Andrew J. Quinn, Diego Vidaurre, Maarten De Vos
A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. NeuroImage 185 (2019)
John Prince, Fernando Andreotti, Maarten De Vos
Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. ICASSP (2019)
John Prince, Fernando Andreotti, Maarten De Vos
Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. ICASSP (2019)
Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. EMBC (2019)
Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR (2019)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. EMBC (2018)
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? CoRR (2018)
Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T. M. Hu, Maarten De Vos
Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. EMBC (2018)
Amir Hossein Ansari, Perumpillichira J. Cherian, Alexander Caicedo Dorado, Katrien Jansen, Anneleen Dereymaeker, Leen De Wispelaere, Charlotte Dielman, Jan Vervisch, Paul Govaert, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data. IEEE J. Biomed. Health Informatics 22 (4) (2018)
John Prince, Maarten De Vos
A Deep Learning Framework for the Remote Detection of Parkinson'S Disease Using Smart-Phone Sensor Data. EMBC (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. CoRR (2018)
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. CoRR (2018)
Fernando Andreotti, Huy Phan, Maarten De Vos
Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI (2018)
Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
Automating the Detection of REM Sleep Behaviour Disorder. EMBC (2018)
Kirubin Pillay, Maarten De Vos
A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age. CoRR (2018)
Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. EMBC (2018)
Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. CoRR (2018)
Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Gunnar Naulaers, Maarten De Vos
A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby. EMBC (2018)
Niclas Palmius, Athanasios Tsanas, Kate E. A. Saunders, A. C. Bilderbeck, John R. Geddes, Guy M. Goodwin, Maarten De Vos
Detecting Bipolar Depression From Geographic Location Data. IEEE Trans. Biomed. Eng. 64 (8) (2017)
Amir Hossein Ansari, P. J. Cherian, Alexander Caicedo, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
Improved neonatal seizure detection using adaptive learning. EMBC (2017)
Oliver Carr, Fernando Andreotti, Kate Saunders, Amy Bilderbeck, Guy M. Goodwin, Maarten De Vos
Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. CinC (2017)
Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos
Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. CinC (2017)
Anneleen Dereymaeker, Kirubin Pillay, Jan Vervisch, Sabine Van Huffel, Gunnar Naulaers, Katrien Jansen, Maarten De Vos
An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation. Int. J. Neural Syst. 27 (6) (2017)
Ali Aroudi, Bojana Mirkovic, Maarten De Vos, Simon Doclo
Auditory attention decoding with EEG recordings using noisy acoustic reference signals. ICASSP (2016)
Vladimir Matic, Perumpillichira J. Cherian, Katrien Jansen, Ninah Koolen, Gunnar Naulaers, Renate M. Swarte, Paul Govaert, Sabine Van Huffel, Maarten De Vos
Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Borbála Hunyadi, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel
Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity. EUSIPCO (2016)
Catharina Zich, Stefan Debener, Maarten De Vos, Stella Frerichs, Stefanie Maurer, Cornelia Kranczioch
Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study. NeuroImage 116 (2015)
Lieven Billiet, Borbála Hunyadi, Vladimir Matic, Sabine Van Huffel, Michel Verleysen, Maarten De Vos
Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. BIOSIGNALS (2015)
Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos
Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. NER (2015)
Ninah Koolen, Anneleen Dereymaeker, Okko Johannes Räsänen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel, Sampsa Vanhatalo
Data-driven metric representing the maturation of preterm EEG. EMBC (2015)
Catharina Zich, Stefan Debener, Cornelia Kranczioch, Martin G. Bleichner, Ingmar Gutberlet, Maarten De Vos
Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery. NeuroImage 114 (2015)
Maren Stropahl, Karsten Plotz, Rüdiger Schönfeld, Thomas Lenarz, Pascale Sandmann, Galit Yovel, Maarten De Vos, Stefan Debener
Cross-modal reorganization in cochlear implant users: Auditory cortex contributes to visual face processing. NeuroImage 121 (2015)
Yipeng Liu, Maarten De Vos, Sabine Van Huffel
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization. CoRR (2015)
Yipeng Liu, Maarten De Vos, Sabine Van Huffel
Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization. IEEE Trans. Biomed. Eng. 62 (8) (2015)
Amir Hossein Ansari, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, P. J. Cherian, Sabine Van Huffel
Improvement of an automated neonatal seizure detector using a post-processing technique. EMBC (2015)

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Publication Activity (10 Years)

Top Topics

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Maarten De Vos