Imposing Independence Constraints in the CP Model. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (ICA, 2007)

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. - Maarten De Vos; Lieven De Lathauwer; Bart Vanrumste; Sabine Van Huffel; Wim Van Paesschen (Comput. Intell. Neurosci., 2007)

Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. - Maarten De Vos; Anneleen Vergult; Lieven De Lathauwer; Wim De Clercq; Sabine Van Huffel; Patrick Dupont; A. Palmini; Wim Van Paesschen (NeuroImage, 2007)

Algorithm for imposing SOBI-type constraints on the CP model. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (ISCAS, 2008)

Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects. - Katrien Vanderperren; Maarten De Vos; Jennifer R. Ramautar; Nikolay Novitskiy; Maarten Mennes; Sara Assecondi; Bart Vanrumste; Peter Stiers; Bea Van den Bergh; Johan Wagemans; Lieven Lagae; Stefan Sunaert; et al. (NeuroImage, 2010)

Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. - Maarten De Vos; Stéphanie Riès; Katrien Vanderperren; Bart Vanrumste; Francois-Xavier Alario; Sabine Van Huffel; Borís Burle (Neuroinformatics, 2010)

Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. - Maarten De Vos; Stéphanie Riès; Katrien Vanderperren; Bart Vanrumste; Francois-Xavier Alario; Sabine Van Huffel; Borís Burle (Neuroinformatics, 2010)

Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis. - Bogdan Mijovic; Maarten De Vos; Ivan Gligorijevic; Joachim Taelman; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2010)

Improvement and Validation of an Automated Neonatal Seizure Detector. - Perumpillichira J. Cherian; W. Deburchgraeve; Vladimir Matic; Maarten De Vos; Renate M. Swarte; Joleen H. Blok; Paul Govaert; Sabine Van Huffel; Gerhard H. Visser (BIOSIGNALS, 2011)

Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. - Ivan Gligorijevic; Maarten De Vos; Joleen H. Blok; Bogdan Mijovic; Johannes P. van Dijk; Sabine Van Huffel (EMBC, 2011)

Independent component analysis as a preprocessing step for data compression of neonatal EEG. - Bogdan Mijovic; Vladimir Matic; Maarten De Vos; Sabine Van Huffel (EMBC, 2011)

Automatic Seizure Detection Incorporating Structural Information. - Borbála Hunyadi; Maarten De Vos; Marco Signoretto; Johan A. K. Suykens; Wim Van Paesschen; Sabine Van Huffel (ICANN (1), 2011)

The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. - Nikolay Novitskiy; Jennifer R. Ramautar; Katrien Vanderperren; Maarten De Vos; Maarten Mennes; Bogdan Mijovic; Bart Vanrumste; Peter Stiers; Bea Van den Bergh; Lieven Lagae; Stefan Sunaert; Sabine Van Huffel; et al. (NeuroImage, 2011)

Spatially constrained ICA algorithm with an application in EEG processing. - Maarten De Vos; Lieven De Lathauwer; Sabine Van Huffel (Signal Process., 2011)

Multi-sparse signal recovery for compressive sensing. - Yipeng Liu 001; Ivan Gligorijevic; Vladimir Matic; Maarten De Vos; Sabine Van Huffel (EMBC, 2012)

Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy. - Vladimir Matic; Perumpillichira J. Cherian; Katrien Jansen; Ninah Koolen; Gunnar Naulaers; Renate M. Swarte; Paul Govaert; Gerhard H. Visser; Sabine Van Huffel; Maarten De Vos (EMBC, 2012)

ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. - Borbála Hunyadi; Bogdan Mijovic; Simon Tousseyn; Patrick Dupont; Wim Van Paesschen; Sabine Van Huffel; Maarten De Vos (PRNI, 2012)

The "why" and "how" of JointICA: Results from a visual detection task. - Bogdan Mijovic; Katrien Vanderperren; Nikolay Novitskiy; Bart Vanrumste; Peter Stiers; Bea Van den Bergh; Lieven Lagae; Stefan Sunaert; Johan Wagemans; Sabine Van Huffel; Maarten De Vos (NeuroImage, 2012)

Let's face it, from trial to trial: Comparing procedures for N170 single-trial estimation. - Maarten De Vos; Jeremy D. Thorne; Galit Yovel; Stefan Debener (NeuroImage, 2012)

A combination of parallel factor and independent component analysis. - Maarten De Vos; Dimitri Nion; Sabine Van Huffel; Lieven De Lathauwer (Signal Process., 2012)

Automatic Burst Detection based on Line Length in the Premature EEG. - Ninah Koolen; Katrien Jansen; Jan Vervisch; Vladimir Matic; Maarten De Vos; Gunnar Naulaers; Sabine Van Huffel (BIOSIGNALS, 2013)

Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task. - Bogdan Mijovic; Bart Machilsen; Borbála Hunyadi; Maarten De Vos; Johan Wagemans; Sabine Van Huffel (EMBC, 2013)

Sparse reconstruction of correlated multichannel activity. - Sem Peelman; Joachim van der Herten; Maarten De Vos; Wen-shin Lee; Sabine Van Huffel; Annie A. M. Cuyt (EMBC, 2013)

The quest for single trial correlations in multimodal EEG-fMRI data. - Maarten De Vos; Rob Zink; Borbála Hunyadi; Bogdan Mijovic; Sabine Van Huffel; Stefan Debener (EMBC, 2013)

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. - Borbála Hunyadi; Marco Signoretto; Stefan Debener; Sabine Van Huffel; Maarten De Vos (PRNI, 2013)

Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties. - Yipeng Liu 001; Maarten De Vos; Sabine Van Huffel (CoRR, 2013)

A new and fast approach towards sEMG decomposition. - Ivan Gligorijevic; Johannes P. van Dijk; Bogdan Mijovic; Sabine Van Huffel; Joleen H. Blok; Maarten De Vos (Medical Biol. Eng. Comput., 2013)

Multi-structural Signal Recovery for Biomedical Compressive Sensing. - Yipeng Liu 001; Maarten De Vos; Ivan Gligorijevic; Vladimir Matic; Yuqian Li; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2013)

Automatic selection of epileptic independent fMRI components. - Borbála Hunyadi; Simon Tousseyn; Patrick Dupont; Sabine Van Huffel; Wim Van Paesschen; Maarten De Vos (EMBC, 2014)

Incorporating higher dimensionality in joint decomposition of EEG and fMRI. - Wout Swinnen; Borbála Hunyadi; Evrim Acar; Sabine Van Huffel; Maarten De Vos (EUSIPCO, 2014)

Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. - Ninah Koolen; Anneleen Dereymaeker; Katrien Jansen; Jan Vervisch; Vladimir Matic; Maarten De Vos; Gunnar Naulaers; Sabine Van Huffel (ICPRAM, 2014)

Block term decomposition for modelling epileptic seizures. - Borbála Hunyadi; Daan Camps; Laurent Sorber; Wim Van Paesschen; Maarten De Vos; Sabine Van Huffel; Lieven De Lathauwer (EURASIP J. Adv. Signal Process., 2014)

Endogenous and Rapid Serial Visual Presentation-induced Alpha Band Oscillations in the Attentional Blink. - Jolanda Janson; Maarten De Vos; Jeremy D. Thorne; Cornelia Kranczioch (J. Cogn. Neurosci., 2014)

The dynamics of contour integration: A simultaneous EEG-fMRI study. - Bogdan Mijovic; Maarten De Vos; Katrien Vanderperren; Bart Machilsen; Stefan Sunaert; Sabine Van Huffel; Johan Wagemans (NeuroImage, 2014)

Bayesian model selection of template forward models for EEG source reconstruction. - Gregor Strobbe; Pieter van Mierlo; Maarten De Vos; Bogdan Mijovic; Hans Hallez; Sabine Van Huffel; José David López; Stefaan Vandenberghe (NeuroImage, 2014)

Multiple sparse volumetric priors for distributed EEG source reconstruction. - Gregor Strobbe; Pieter van Mierlo; Maarten De Vos; Bogdan Mijovic; Hans Hallez; Sabine Van Huffel; José David López; Stefaan Vandenberghe (NeuroImage, 2014)

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. - Lieven Billiet; Borbála Hunyadi; Vladimir Matic; Sabine Van Huffel; Michel Verleysen; Maarten De Vos (BIOSIGNALS, 2015)

Improvement of an automated neonatal seizure detector using a post-processing technique. - Amir Hossein Ansari; Vladimir Matic; Maarten De Vos; Gunnar Naulaers; P. J. Cherian; Sabine Van Huffel (EMBC, 2015)

Data-driven metric representing the maturation of preterm EEG. - Ninah Koolen; Anneleen Dereymaeker; Okko Johannes Räsänen; Katrien Jansen; Jan Vervisch; Vladimir Matic; Maarten De Vos; Gunnar Naulaers; Sabine Van Huffel; Sampsa Vanhatalo (EMBC, 2015)

Classifying the auditory P300 using mobile EEG recordings without calibration phase. - Rob Zink; Borbála Hunyadi; Sabine Van Huffel; Maarten De Vos (EMBC, 2015)

Exploring the epileptic network with parallel ICA of interictal EEG-FMRI. - Borbála Hunyadi; Maarten De Vos; Wim Van Paesschen; Sabine Van Huffel (EUSIPCO, 2015)

Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings. - Elina Naydenova; Athanasios Tsanas; Climent Casals-Pascual; Maarten De Vos (GHTC, 2015)

Automated Respiration Detection from Neonatal Video Data. - Ninah Koolen; Olivier Decroupet; Anneleen Dereymaeker; Katrien Jansen; Jan Vervisch; Vladimir Matic; Bart Vanrumste; Gunnar Naulaers; Sabine Van Huffel; Maarten De Vos (ICPRAM (2), 2015)

Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. - Rob Zink; Borbála Hunyadi; Sabine Van Huffel; Maarten De Vos (NER, 2015)

Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization. - Yipeng Liu 001; Maarten De Vos; Sabine Van Huffel (CoRR, 2015)

A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. - Borbála Hunyadi; Simon Tousseyn; Patrick Dupont; Sabine Van Huffel; Maarten De Vos; Wim Van Paesschen (NeuroImage, 2015)

Cross-modal reorganization in cochlear implant users: Auditory cortex contributes to visual face processing. - Maren Stropahl; Karsten Plotz; Rüdiger Schönfeld; Thomas Lenarz; Pascale Sandmann; Galit Yovel; Maarten De Vos; Stefan Debener (NeuroImage, 2015)

Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery. - Catharina Zich; Stefan Debener; Cornelia Kranczioch; Martin G. Bleichner; Ingmar Gutberlet; Maarten De Vos (NeuroImage, 2015)

Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study. - Catharina Zich; Stefan Debener; Maarten De Vos; Stella Frerichs; Stefanie Maurer; Cornelia Kranczioch (NeuroImage, 2015)

Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization. - Yipeng Liu 001; Maarten De Vos; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2015)

Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity. - Borbála Hunyadi; Wim Van Paesschen; Maarten De Vos; Sabine Van Huffel (EUSIPCO, 2016)

Auditory attention decoding with EEG recordings using noisy acoustic reference signals. - Ali Aroudi; Bojana Mirkovic; Maarten De Vos; Simon Doclo (ICASSP, 2016)

Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants. - Vladimir Matic; Perumpillichira J. Cherian; Katrien Jansen; Ninah Koolen; Gunnar Naulaers; Renate M. Swarte; Paul Govaert; Sabine Van Huffel; Maarten De Vos (IEEE Trans. Biomed. Eng., 2016)

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. - Fernando Andreotti; Oliver Carr; Marco A. F. Pimentel; Adam Mahdi; Maarten De Vos (CinC, 2017)

Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. - Oliver Carr; Fernando Andreotti; Kate Saunders; Amy Bilderbeck; Guy M. Goodwin; Maarten De Vos (CinC, 2017)

Improved neonatal seizure detection using adaptive learning. - Amir Hossein Ansari; P. J. Cherian; Alexander Caicedo; Maarten De Vos; Gunnar Naulaers; Sabine Van Huffel (EMBC, 2017)

An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation. - Anneleen Dereymaeker; Kirubin Pillay; Jan Vervisch; Sabine Van Huffel; Gunnar Naulaers; Katrien Jansen; Maarten De Vos (Int. J. Neural Syst., 2017)

Detecting Bipolar Depression From Geographic Location Data. - Niclas Palmius; Athanasios Tsanas; Kate E. A. Saunders; A. C. Bilderbeck; John R. Geddes; Guy M. Goodwin; Maarten De Vos (IEEE Trans. Biomed. Eng., 2017)

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. - Fernando Andreotti; Huy Phan; Navin Cooray; Christine Lo; Michele T. M. Hu; Maarten De Vos (EMBC, 2018)

Automating the Detection of REM Sleep Behaviour Disorder. - Navin Cooray; Fernando Andreotti; Christine Lo; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos (EMBC, 2018)

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (EMBC, 2018)

A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby. - Kirubin Pillay; Anneleen Dereymaeker; Katrien Jansen; Gunnar Naulaers; Maarten De Vos (EMBC, 2018)

A Deep Learning Framework for the Remote Detection of Parkinson'S Disease Using Smart-Phone Sensor Data. - John Prince; Maarten De Vos (EMBC, 2018)

Visualising convolutional neural network decisions in automated sleep scoring. - Fernando Andreotti; Huy Phan; Maarten De Vos (AIH@IJCAI, 2018)

A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age. - Kirubin Pillay; Maarten De Vos (CoRR, 2018)

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (CoRR, 2018)

Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (CoRR, 2018)

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. - Navin Cooray; Fernando Andreotti; Christine Lo; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos (CoRR, 2018)

Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data. - 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 (IEEE J. Biomed. Health Informatics, 2018)

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EMBC, 2019)

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (EUSIPCO, 2019)

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. - Huy Phan; Oliver Y. Chén; Philipp Koch; Lam Dang Pham; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (ICASSP, 2019)

Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. - John Prince; Fernando Andreotti; Maarten De Vos (ICASSP, 2019)

Spatio-Temporal Attention Pooling for Audio Scene Classification. - Huy Phan; Oliver Y. Chén; Lam Dang Pham; Philipp Koch; Maarten De Vos; Ian McLoughlin 001; Alfred Mertins (INTERSPEECH, 2019)

Neonatal Seizure Detection Using Deep Convolutional Neural Networks. - Amir Hossein Ansari; Perumpillichira J. Cherian; Alexander Caicedo; Gunnar Naulaers; Maarten De Vos; Sabine Van Huffel (Int. J. Neural Syst., 2019)

A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. - Borbála Hunyadi; Mark W. Woolrich; Andrew J. Quinn 003; Diego Vidaurre; Maarten De Vos (NeuroImage, 2019)

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. - Huy Phan; Fernando Andreotti; Navin Cooray; Oliver Y. Chén; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. - John Prince; Fernando Andreotti; Maarten De Vos (IEEE Trans. Biomed. Eng., 2019)

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Preben Kidmose; Maarten De Vos (CoRR, 2020)

Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. - Oliver Carr; Fernando Andreotti; Kate E. A. Saunders; Niclas Palmius; Guy M. Goodwin; Maarten De Vos (CoRR, 2020)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (CoRR, 2020)

Improving GANs for Speech Enhancement. - Huy Phan; Ian Vince McLoughlin; Lam Dang Pham; Oliver Y. Chén; Philipp Koch; Maarten De Vos; Alfred Mertins (IEEE Signal Process. Lett., 2020)

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; John Prince; Kirsten I. Taylor; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE Trans. Biomed. Eng., 2020)

A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database. - Christos Chatzichristos; José Felipe Golib Dzib; Andries Clinckaert; Wouter Everaerts; Maarten De Vos; Martine Lewi (COPA, 2021)

Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs. - Eoin Brophy; Maarten De Vos; Geraldine B. Boylan; Tomás Ward (IEEE Access, 2021)

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. - Andrew P. Creagh; Florian Lipsmeier; Michael Lindemann; Maarten De Vos (CoRR, 2021)

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. - 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 (NeuroImage, 2021)

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. - Thijs Becker; Kaat Vandecasteele; Christos Chatzichristos; Wim Van Paesschen; Dirk Valkenborg; Sabine Van Huffel; Maarten De Vos (Sensors, 2021)

Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. - Eoin Brophy; Maarten De Vos; Geraldine B. Boylan; Tomás Ward (Sensors, 2021)

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. - Huy Phan; Oliver Y. Chén; Philipp Koch; Zongqing Lu 002; Ian McLoughlin 001; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2021)

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. - 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 (IEEE J. Biomed. Health Informatics, 2021)

Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation. - Tim De Ryck; Maarten De Vos; Alexander Bertrand (IEEE Trans. Signal Process., 2021)

Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. - Elisabeth R. M. Heremans; Trui Osselaer; Nick Seeuws; Huy Phan; Dries Testelmans; Maarten De Vos (BHI, 2022)

Semi-supervised Change Point Detection Using Active Learning. - Arne De Brabandere; Zhenxiang Cao; Maarten De Vos; Alexander Bertrand; Jesse Davis (DS, 2022)

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. - Navin Cooray; Zhenglin Li; Jinzhuo Wang; Christine Lo; Mahnaz Arvaneh; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos; Lyudmila S. Mihaylova (FUSION, 2022)

Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function. - Eoin Brophy; Bryan M. Hennelly; Maarten De Vos; Geraldine B. Boylan; Tomás Ward (IEEE Access, 2022)

EventNet: Detecting Events in EEG. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (CoRR, 2022)

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. - Huy Phan; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study. - William Do; Richard Russell; Christopher Wheeler; Megan Lockwood; Maarten De Vos; Ian Pavord; Mona Bafadhel (Sensors, 2022)

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. - Kaare B. Mikkelsen; Huy Phan; Mike Lind Rank; Martin Christian Hemmsen; Maarten De Vos; Preben Kidmose (IEEE Trans. Biomed. Eng., 2022)

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. - Huy Phan; Kaare B. Mikkelsen; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (IEEE Trans. Biomed. Eng., 2022)

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2022)

A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels. - Amir Hossein Ansari; Kirubin Pillay; Anneleen Dereymaeker; Katrien Jansen; Sabine Van Huffel; Gunnar Naulaers; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2022)

CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity. - Chuanhao Zhang; Wenwen Yu; Yamei Li; Hongqiang Sun; Yuan Zhang 007; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2022)

Feature matching as improved transfer learning technique for wearable EEG. - Elisabeth R. M. Heremans; Huy Phan; Amir Hossein Ansari; Pascal Borzée; Bertien Buyse; Dries Testelmans; Maarten De Vos (Biomed. Signal Process. Control., 2022)

Epilepsy Detection Grand Challenge. - Christos Chatzichristos; Miguel Bhagubai; Wim Van Paesschen; Maarten De Vos (ICASSP, 2023)

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. - Huy Phan; Elisabeth R. M. Heremans; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (ICASSP, 2023)

Cross-Subject Mindfulness Meditation EEG Decoding. - Angeliki-Ilektra Karaiskou; Carolina Varon; Kaat Alaerts; Maarten De Vos (MetroXRAINE, 2023)

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks. - Guido Gagliardi; Antonio Luca Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Maarten De Vos; Gaetano Valenza (NER, 2023)

Explaining Uncertainty in AI for Clinical Decision Support Systems. - Elisabeth R. M. Heremans; Maarten De Vos (PKDD/ECML Workshops (2), 2023)

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. - Guido Gagliardi; Antonio Luca Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Maarten De Vos; Gaetano Valenza (SSCI, 2023)

The Statistical Analysis of the Varying Brain. - 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; et al. (SSP, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. - 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 (CoRR, 2023)

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. - Konstantinos Kontras; Christos Chatzichristos; Huy Phan; Johan A. K. Suykens; Maarten De Vos (CoRR, 2023)

From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research. - Marco Viceconti; Maarten De Vos; Sabato Mellone; Liesbet Geris (CoRR, 2023)

Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions. - Joran Michiels; Maarten De Vos; Johan A. K. Suykens (CoRR, 2023)

A Novel Loss for Change Point Detection Models With Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Signal Process. Lett., 2023)

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; Frank Dondelinger; Andrew P. Creagh; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. - 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 (IEEE J. Biomed. Health Informatics, 2023)

The roles, challenges, and merits of the p value. - 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; et al. (Patterns, 2023)

Improving Multimodal Learning with Multi-Loss Gradient Modulation. - Konstantinos Kontras; Christos Chatzichristos; Matthew B. Blaschko; Maarten De Vos (BMVC, 2024)

A Multi-View Extension for Change Point Detection via Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (EUSIPCO, 2024)

U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. - Elisabeth R. M. Heremans; Nabeel Seedat; Bertien Buyse; Dries Testelmans; Mihaela van der Schaar; Maarten De Vos (Comput. Biol. Medicine, 2024)

Multimodal Fusion Balancing Through Game-Theoretic Regularization. - Konstantinos Kontras; Thomas Strypsteen; Christos Chatzichristos; Paul P. Liang; Matthew B. Blaschko; Maarten De Vos (CoRR, 2024)

A semi-supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

Correction: A semi‑supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

Explaining the model and feature dependencies by decomposition of the Shapley value. - Joran Michiels; Johan A. K. Suykens; Maarten De Vos (Decis. Support Syst., 2024)

Ten quick tips for electrocardiogram (ECG) signal processing. - Davide Chicco; Angeliki-Ilektra Karaiskou; Maarten De Vos (PeerJ Comput. Sci., 2024)

Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features. - Arne De Brabandere; Christos Chatzichristos; Wim Van Paesschen; Maarten De Vos; Jesse Davis (IEEE Trans. Biomed. Eng., 2024)

Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research. - Marco Viceconti; Maarten De Vos; Sabato Mellone; Liesbet Geris (IEEE J. Biomed. Health Informatics, 2024)

Learning Robust Representations of Tonic-Clonic Seizures With Cyclic Transformer. - Jingwei Zhang; Lauren Swinnen; Christos Chatzichristos; Wim Van Paesschen; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2024)

Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2024)

MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. - Phairot Autthasan; Rattanaphon Chaisaen; Huy Phan; Maarten De Vos; Theerawit Wilaiprasitporn (IEEE Internet Things J., 2024)

Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. - Kristian P. Lorenzen; Elisabeth R. M. Heremans; Maarten De Vos; Kaare B. Mikkelsen (IEEE J. Biomed. Health Informatics, 2024)

Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Knowl. Data Eng., 2024)

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates. - Lore Van Santvliet; Elena Zappon; Matthias A. F. Gsell; Franz Thaler; Maarten Blondeel; Steven Dymarkowski; Guido Claessen; Rik Willems; Martin Urschler; Bert Vandenberk; Gernot Plank; Maarten De Vos (Comput. Biol. Medicine, 2025)

Noncontact capacitive coupling ECG-Derived respiratory signals using the conformer based time-frequency domain generative adversarial network. - Zhijun Xiao; Maarten De Vos; Christos Chatzichristos; Kejun Dong; Yunyi Jiang; Zhongyu Wang; Yuwei Zhang; Fei Ding 003; Chenxi Yang; Jianqing Li 005; Chengyu Liu 001 (Expert Syst. Appl., 2025)

A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2025)

ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging. - Qi Liu; Jie Wei; Thomas Penzel; Maarten De Vos; Yuan Zhang 007; Zhiyi Huang 001; Mikhail Poluektov; Yulan Zhu; Chenyu Li (IEEE Trans. Emerg. Top. Comput. Intell., 2025)