Maarten De Vos

Orcid: 0000-0002-3482-5145

According to our database1, Maarten De Vos authored at least 126 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
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, January, 2024

Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features.
IEEE Trans. Biomed. Eng., January, 2024

Correction: A semi‑supervised interactive algorithm for change point detection.
Data Min. Knowl. Discov., 2024

A semi-supervised interactive algorithm for change point detection.
Data Min. Knowl. Discov., 2024

2023
The roles, challenges, and merits of the p value.
Patterns, December, 2023

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

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
IEEE J. Biomed. Health Informatics, July, 2023

A Novel Loss for Change Point Detection Models With Time-Invariant Representations.
IEEE Signal Process. Lett., 2023

Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions.
CoRR, 2023

Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value.
CoRR, 2023

U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging.
CoRR, 2023

From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research.
CoRR, 2023

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities.
CoRR, 2023

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


Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Cross-Subject Mindfulness Meditation EEG Decoding.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Epilepsy Detection Grand Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Feature matching as improved transfer learning technique for wearable EEG.
Biomed. Signal Process. Control., September, 2022

CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity.
IEEE J. Biomed. Health Informatics, 2022

A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels.
IEEE J. Biomed. Health Informatics, 2022

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning.
IEEE Trans. Biomed. Eng., 2022

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
IEEE Trans. Biomed. Eng., 2022

Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations.
IEEE Trans. Biomed. Eng., 2022

Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study.
Sensors, 2022

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

EventNet: Detecting Events in EEG.
CoRR, 2022

Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function.
IEEE Access, 2022

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography.
Proceedings of the 25th International Conference on Information Fusion, 2022

Semi-supervised Change Point Detection Using Active Learning.
Proceedings of the Discovery Science - 25th International Conference, 2022

Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation.
IEEE Trans. Signal Process., 2021

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

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning.
IEEE Trans. Biomed. Eng., 2021

Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach.
Sensors, 2021

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection.
Sensors, 2021

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

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones.
CoRR, 2021

Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs.
IEEE Access, 2021

A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020
Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.
IEEE Trans. Biomed. Eng., 2020

Improving GANs for Speech Enhancement.
IEEE Signal Process. Lett., 2020

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging.
CoRR, 2020

Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers.
CoRR, 2020

Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization.
CoRR, 2020

2019
Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.
IEEE Trans. Biomed. Eng., 2019

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification.
IEEE Trans. Biomed. Eng., 2019

A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates.
NeuroImage, 2019

Neonatal Seizure Detection Using Deep Convolutional Neural Networks.
Int. J. Neural Syst., 2019

Spatio-Temporal Attention Pooling for Audio Scene Classification.
Proceedings of the Interspeech 2019, 2019

Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch.
Proceedings of the 27th European Signal Processing Conference, 2019

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis.
CoRR, 2018

Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
CoRR, 2018

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
CoRR, 2018

A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age.
CoRR, 2018

Visualising convolutional neural network decisions in automated sleep scoring.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

A Deep Learning Framework for the Remote Detection of Parkinson'S Disease Using Smart-Phone Sensor Data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automating the Detection of REM Sleep Behaviour Disorder.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Detecting Bipolar Depression From Geographic Location Data.
IEEE Trans. Biomed. Eng., 2017

An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation.
Int. J. Neural Syst., 2017

Improved neonatal seizure detection using adaptive learning.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Linking Changes in Heart Rate Variability to Mood Changes in Daily Life.
Proceedings of the Computing in Cardiology, 2017

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG.
Proceedings of the Computing in Cardiology, 2017

2016
Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants.
IEEE Trans. Biomed. Eng., 2016

Auditory attention decoding with EEG recordings using noisy acoustic reference signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization.
IEEE Trans. Biomed. Eng., 2015

Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study.
NeuroImage, 2015

Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery.
NeuroImage, 2015

Cross-modal reorganization in cochlear implant users: Auditory cortex contributes to visual face processing.
NeuroImage, 2015

A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy.
NeuroImage, 2015

Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization.
CoRR, 2015

Exploring CPD based unsupervised classification for auditory BCI with mobile EEG.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Automated Respiration Detection from Neonatal Video Data.
Proceedings of the ICPRAM 2015, 2015

Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings.
Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015

Exploring the epileptic network with parallel ICA of interictal EEG-FMRI.
Proceedings of the 23rd European Signal Processing Conference, 2015

Classifying the auditory P300 using mobile EEG recordings without calibration phase.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Data-driven metric representing the maturation of preterm EEG.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improvement of an automated neonatal seizure detector using a post-processing technique.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Single Trial Classification for Mobile BCI - A Multiway Kernel Approach.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Multiple sparse volumetric priors for distributed EEG source reconstruction.
NeuroImage, 2014

Bayesian model selection of template forward models for EEG source reconstruction.
NeuroImage, 2014

The dynamics of contour integration: A simultaneous EEG-fMRI study.
NeuroImage, 2014

Endogenous and Rapid Serial Visual Presentation-induced Alpha Band Oscillations in the Attentional Blink.
J. Cogn. Neurosci., 2014

Block term decomposition for modelling epileptic seizures.
EURASIP J. Adv. Signal Process., 2014

Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain.
Proceedings of the ICPRAM 2014, 2014

Incorporating higher dimensionality in joint decomposition of EEG and fMRI.
Proceedings of the 22nd European Signal Processing Conference, 2014

Automatic selection of epileptic independent fMRI components.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Multi-structural Signal Recovery for Biomedical Compressive Sensing.
IEEE Trans. Biomed. Eng., 2013

A new and fast approach towards sEMG decomposition.
Medical Biol. Eng. Comput., 2013

Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties.
CoRR, 2013

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

The quest for single trial correlations in multimodal EEG-fMRI data.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Sparse reconstruction of correlated multichannel activity.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Automatic Burst Detection based on Line Length in the Premature EEG.
Proceedings of the BIOSIGNALS 2013, 2013

2012
A combination of parallel factor and independent component analysis.
Signal Process., 2012

Let's face it, from trial to trial: Comparing procedures for N170 single-trial estimation.
NeuroImage, 2012

The "why" and "how" of JointICA: Results from a visual detection task.
NeuroImage, 2012

ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Multi-sparse signal recovery for compressive sensing.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Spatially constrained ICA algorithm with an application in EEG processing.
Signal Process., 2011

The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task.
NeuroImage, 2011

Automatic Seizure Detection Incorporating Structural Information.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Independent component analysis as a preprocessing step for data compression of neonatal EEG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Improvement and Validation of an Automated Neonatal Seizure Detector.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2010

Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production.
Neuroinformatics, 2010

Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production.
Neuroinformatics, 2010

Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects.
NeuroImage, 2010

2008
Algorithm for imposing SOBI-type constraints on the CP model.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007
Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone.
NeuroImage, 2007

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study.
Comput. Intell. Neurosci., 2007

Imposing Independence Constraints in the CP Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2007


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