Maarten De Vos

165 papers A 2B 2C 3Misc 5Journal 109Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development and temporal validation of machine learning models for predicting clinically relevant medication reconciliation discrepancies at the emergency department: A single-center retrospective study. Int. J. Medical Informatics Greet Van De Sijpe, Tuur Schrooten, Sabrina De Winter, Lorenz Van der Linden, Peter Vanbrabant, Annabel Dompas, Bo Bertels, Maarten De Vos, Isabel Spriet
2026	J	`jnl`	Non-Direct Contact ECG Signal Classification Using a Hybrid Deep Learning Framework With Validation in Bedside Heart Rate Variability Analysis. IEEE J. Biomed. Health Informatics Zhijun Xiao, Maarten De Vos, Christos Chatzichristos, Yunyi Jiang, Minghui Zhao, Fei Ding, Chenxi Yang, Jianqing Li, Chengyu Liu
2026	J	`jnl`	Representation Learning for Cerebrovascular Autoregulation: A Model Study With Experimental Data Classification. IEEE Trans. Biomed. Eng. Bavo Kempen, Samuel Klein, Veerle De Sloovere, Bart Depreitere, Maarten De Vos
2026	J	`jnl`	Self-Balancing Multimodal Models via Multi-Loss Gradient Modulation. Int. J. Comput. Vis. Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos
2025	J	`jnl`	A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals. IEEE J. Biomed. Health Informatics Nick Seeuws, Maarten De Vos, Alexander Bertrand
2025	J	`jnl`	ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging. IEEE Trans. Emerg. Top. Comput. Intell. Qi Liu, Jie Wei, Thomas Penzel, Maarten De Vos, Yuan Zhang, Zhiyi Huang, Mikhail Poluektov, Yulan Zhu, Chenyu Li
2025	B	`conf`	Building neural networks' latent space to extract instance-based explanations for sleep staging. SMC Guido Gagliardi, Antonio Luca Alfeo, Mario G. C. A. Cimino, Gaetano Valenza, Maarten De Vos
2025	J	`jnl`	Exploiting a Mixture-of-Layers in an Electrocardiography Foundation Model. CoRR Phu X. Nguyen, Huy Phan, Hieu Pham, Christos Chatzichristos, Bert Vandenberk, Maarten De Vos
2025	J	`jnl`	Exploring the Relationship Between Stress-Physiology and Pain in the Daily Life of Patients With Chronic Widespread Pain. IEEE Trans. Affect. Comput. Emilie Pattyn, Nattapong Thammasan, Hannah Davidoff, Walter De Raedt, Gudrun Vera Eisele, Ruud van Stiphout, Maarten De Vos, Olivia J. Kirtley, Peter Van Wambeke, Bart Morlion, Elfi Vergaelen, Chris Van Hoof
2025	J	`jnl`	Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates. Comput. Biol. Medicine 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
2025	J	`jnl`	Model-driven validation of visual explanations for multimodal emotion recognition. Mach. Learn. Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza
2025	J	`jnl`	Noncontact capacitive coupling ECG-Derived respiratory signals using the conformer based time-frequency domain generative adversarial network. Expert Syst. Appl. Zhijun Xiao, Maarten De Vos, Christos Chatzichristos, Kejun Dong, Yunyi Jiang, Zhongyu Wang, Yuwei Zhang, Fei Ding, Chenxi Yang, Jianqing Li, Chengyu Liu
2025	J	`jnl`	The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment. CoRR Stefanos Koutoupis, Michaela Areti Zervou, Konstantinos Kontras, Maarten De Vos, Panagiotis Tsakalides, Grigorios Tsagatakis
2024	—	`conf`	A Multi-View Extension for Change Point Detection via Time-Invariant Representations. EUSIPCO Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
2024	J	`jnl`	A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
2024	J	`jnl`	Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. IEEE Trans. Biomed. Eng. Nick Seeuws, Maarten De Vos, Alexander Bertrand
2024	J	`jnl`	Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. IEEE Trans. Knowl. Data Eng. Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
2024	J	`jnl`	Correction: A semi‑supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
2024	J	`jnl`	Detecting Epileptic Seizures Using Hand-Crafted and Automatically Constructed EEG Features. IEEE Trans. Biomed. Eng. Arne De Brabandere, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos, Jesse Davis
2024	J	`jnl`	Explaining the model and feature dependencies by decomposition of the Shapley value. Decis. Support Syst. Joran Michiels, Johan A. K. Suykens, Maarten De Vos
2024	A	`conf`	Improving Multimodal Learning with Multi-Loss Gradient Modulation. BMVC Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos
2024	J	`jnl`	Improving Multimodal Learning with Multi-Loss Gradient Modulation. CoRR Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos
2024	J	`jnl`	Learning Robust Representations of Tonic-Clonic Seizures With Cyclic Transformer. IEEE J. Biomed. Health Informatics Jingwei Zhang, Lauren Swinnen, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos
2024	J	`jnl`	MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. CoRR Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, Theerawit Wilaiprasitporn
2024	J	`jnl`	MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. IEEE Internet Things J. Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, Theerawit Wilaiprasitporn
2024	J	`jnl`	Multimodal Fusion Balancing Through Game-Theoretic Regularization. CoRR Konstantinos Kontras, Thomas Strypsteen, Christos Chatzichristos, Paul P. Liang, Matthew B. Blaschko, Maarten De Vos
2024	J	`jnl`	Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. IEEE J. Biomed. Health Informatics Kristian P. Lorenzen, Elisabeth R. M. Heremans, Maarten De Vos, Kaare B. Mikkelsen
2024	J	`jnl`	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 Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris
2024	J	`jnl`	Ten quick tips for electrocardiogram (ECG) signal processing. PeerJ Comput. Sci. Davide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos
2024	J	`jnl`	U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. Comput. Biol. Medicine Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2023	J	`jnl`	A Novel Loss for Change Point Detection Models With Time-Invariant Representations. IEEE Signal Process. Lett. Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
2023	J	`jnl`	CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. CoRR Konstantinos Kontras, Christos Chatzichristos, Huy Phan, Johan A. K. Suykens, Maarten De Vos
2023	—	`conf`	Cross-Subject Mindfulness Meditation EEG Decoding. MetroXRAINE Angeliki-Ilektra Karaiskou, Carolina Varon, Kaat Alaerts, Maarten De Vos
2023	Misc	`conf`	Epilepsy Detection Grand Challenge. ICASSP Christos Chatzichristos, Miguel Bhagubai, Wim Van Paesschen, Maarten De Vos
2023	—	`conf`	Explaining Uncertainty in AI for Clinical Decision Support Systems. PKDD/ECML Workshops (2) Elisabeth R. M. Heremans, Maarten De Vos
2023	J	`jnl`	Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value. CoRR Joran Michiels, Maarten De Vos, Johan A. K. Suykens
2023	—	`conf`	Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks. NER Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza
2023	J	`jnl`	From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research. CoRR Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris
2023	Misc	`conf`	Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. ICASSP Huy Phan, Elisabeth R. M. Heremans, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2023	J	`jnl`	Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions. CoRR Joran Michiels, Maarten De Vos, Johan A. K. Suykens
2023	J	`jnl`	L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. IEEE J. Biomed. Health Informatics 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
2023	J	`jnl`	L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. CoRR 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
2023	J	`jnl`	Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos
2023	—	`conf`	The Statistical Analysis of the Varying Brain. SSP 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
2023	J	`jnl`	The roles, challenges, and merits of the p value. Patterns 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
2023	J	`jnl`	U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging. CoRR Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2023	—	`conf`	Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. SSCI Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza
2022	J	`jnl`	A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels. IEEE J. Biomed. Health Informatics Amir Hossein Ansari, Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos
2022	C	`conf`	Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova
2022	J	`jnl`	CMS2-Net: Semi-Supervised Sleep Staging for Diverse Obstructive Sleep Apnea Severity. IEEE J. Biomed. Health Informatics Chuanhao Zhang, Wenwen Yu, Yamei Li, Hongqiang Sun, Yuan Zhang, Maarten De Vos
2022	—	`conf`	Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. BHI Elisabeth R. M. Heremans, Trui Osselaer, Nick Seeuws, Huy Phan, Dries Testelmans, Maarten De Vos
2022	J	`jnl`	Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. IEEE Trans. Biomed. Eng. Nick Seeuws, Maarten De Vos, Alexander Bertrand
2022	J	`jnl`	EventNet: Detecting Events in EEG. CoRR Nick Seeuws, Maarten De Vos, Alexander Bertrand
2022	J	`jnl`	Feature matching as improved transfer learning technique for wearable EEG. Biomed. Signal Process. Control. Elisabeth R. M. Heremans, Huy Phan, Amir Hossein Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos
2022	J	`jnl`	Feature matching as improved transfer learning technique for wearable EEG. CoRR Elisabeth R. M. Heremans, Huy Phan, Amir Hossein Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos
2022	J	`jnl`	Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function. IEEE Access Eoin Brophy, Bryan M. Hennelly, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
2022	J	`jnl`	Performance of Contactless Respiratory Rate Monitoring by Albus HomeTM, an Automated System for Nocturnal Monitoring at Home: A Validation Study. Sensors William Do, Richard Russell, Christopher Wheeler, Megan Lockwood, Maarten De Vos, Ian Pavord, Mona Bafadhel
2022	B	`conf`	Semi-supervised Change Point Detection Using Active Learning. DS Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis
2022	J	`jnl`	Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. IEEE Trans. Biomed. Eng. Kaare B. Mikkelsen, Huy Phan, Mike Lind Rank, Martin Christian Hemmsen, Maarten De Vos, Preben Kidmose
2022	J	`jnl`	SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Trans. Biomed. Eng. Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2022	J	`jnl`	XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. IEEE Trans. Pattern Anal. Mach. Intell. Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos
2021	—	`conf`	A non-conformity approach towards post-prostatectomy metastasis estimation using a multicentre prostate cancer database. COPA Christos Chatzichristos, José Felipe Golib Dzib, Andries Clinckaert, Wouter Everaerts, Maarten De Vos, Martine Lewi
2021	J	`jnl`	Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation. IEEE Trans. Signal Process. Tim De Ryck, Maarten De Vos, Alexander Bertrand
2021	J	`jnl`	Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Sensors Thijs Becker, Kaat Vandecasteele, Christos Chatzichristos, Wim Van Paesschen, Dirk Valkenborg, Sabine Van Huffel, Maarten De Vos
2021	J	`jnl`	Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. CoRR Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
2021	J	`jnl`	Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. Sensors Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
2021	J	`jnl`	Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis. NeuroImage 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
2021	J	`jnl`	Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. CoRR Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos
2021	J	`jnl`	Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs. IEEE Access Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward
2021	J	`jnl`	SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification. CoRR Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2021	J	`jnl`	Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. IEEE J. Biomed. Health Informatics 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
2021	J	`jnl`	Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2020	J	`jnl`	Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Trans. Biomed. Eng. Oliver Y. Chén, Florian Lipsmeier, Huy Phan, John Prince, Kirsten I. Taylor, Christian Gossens, Michael Lindemann, Maarten De Vos
2020	J	`jnl`	Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation. CoRR Tim De Ryck, Maarten De Vos, Alexander Bertrand
2020	J	`jnl`	Improving GANs for Speech Enhancement. CoRR Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
2020	J	`jnl`	Improving GANs for Speech Enhancement. IEEE Signal Process. Lett. Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
2020	J	`jnl`	Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers. CoRR Oliver Carr, Fernando Andreotti, Kate E. A. Saunders, Niclas Palmius, Guy M. Goodwin, Maarten De Vos
2020	J	`jnl`	Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization. CoRR Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos
2020	J	`jnl`	XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. CoRR Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019	J	`jnl`	A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates. NeuroImage Borbála Hunyadi, Mark W. Woolrich, Andrew J. Quinn, Diego Vidaurre, Maarten De Vos
2019	—	`conf`	Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. EUSIPCO Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019	J	`jnl`	Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch. CoRR Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019	Misc	`conf`	Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson's Disease Using Smartphones. ICASSP John Prince, Fernando Andreotti, Maarten De Vos
2019	—	`conf`	Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging. EMBC Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
2019	J	`jnl`	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Trans. Biomed. Eng. Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2019	J	`jnl`	Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data. IEEE Trans. Biomed. Eng. John Prince, Fernando Andreotti, Maarten De Vos
2019	J	`jnl`	Neonatal Seizure Detection Using Deep Convolutional Neural Networks. Int. J. Neural Syst. Amir Hossein Ansari, Perumpillichira J. Cherian, Alexander Caicedo, Gunnar Naulaers, Maarten De Vos, Sabine Van Huffel
2019	A	`conf`	Spatio-Temporal Attention Pooling for Audio Scene Classification. INTERSPEECH Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
2019	J	`jnl`	Spatio-Temporal Attention Pooling for Audio Scene Classification. CoRR Huy Phan, Oliver Y. Chén, Lam Dang Pham, Philipp Koch, Maarten De Vos, Ian McLoughlin, Alfred Mertins
2019	J	`jnl`	Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2019	Misc	`conf`	Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks. ICASSP Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018	—	`conf`	A Bayesian parametric model for quantifying brain maturation from sleep-EEG in the vulnerable newborn baby. EMBC Kirubin Pillay, Anneleen Dereymaeker, Katrien Jansen, Gunnar Naulaers, Maarten De Vos
2018	—	`conf`	A Deep Learning Framework for the Remote Detection of Parkinson'S Disease Using Smart-Phone Sensor Data. EMBC John Prince, Maarten De Vos
2018	J	`jnl`	A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age. CoRR Kirubin Pillay, Maarten De Vos
2018	—	`conf`	Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks. EMBC Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	—	`conf`	Automating the Detection of REM Sleep Behaviour Disorder. EMBC Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
2018	J	`jnl`	Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene? CoRR Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018	—	`conf`	DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification. EMBC Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	J	`jnl`	Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis. CoRR Navin Cooray, Fernando Andreotti, Christine Lo, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos
2018	J	`jnl`	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	—	`conf`	Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks. EMBC Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T. M. Hu, Maarten De Vos
2018	J	`jnl`	SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. CoRR Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos
2018	J	`jnl`	Unifying Isolated and Overlapping Audio Event Detection with Multi-Label Multi-Task Convolutional Recurrent Neural Networks. CoRR Huy Phan, Oliver Y. Chén, Philipp Koch, Lam Dang Pham, Ian McLoughlin, Alfred Mertins, Maarten De Vos
2018	—	`conf`	Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI Fernando Andreotti, Huy Phan, Maarten De Vos
2018	J	`jnl`	Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data. IEEE J. Biomed. Health Informatics 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
2017	J	`jnl`	An Automated Quiet Sleep Detection Approach in Preterm Infants as a Gateway to Assess Brain Maturation. Int. J. Neural Syst. Anneleen Dereymaeker, Kirubin Pillay, Jan Vervisch, Sabine Van Huffel, Gunnar Naulaers, Katrien Jansen, Maarten De Vos
2017	—	`conf`	Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. CinC Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos
2017	J	`jnl`	Detecting Bipolar Depression From Geographic Location Data. IEEE Trans. Biomed. Eng. Niclas Palmius, Athanasios Tsanas, Kate E. A. Saunders, Amy C. Bilderbeck, John R. Geddes, Guy M. Goodwin, Maarten De Vos
2017	—	`conf`	Improved neonatal seizure detection using adaptive learning. EMBC Amir Hossein Ansari, P. J. Cherian, Alexander Caicedo, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
2017	—	`conf`	Linking Changes in Heart Rate Variability to Mood Changes in Daily Life. CinC Oliver Carr, Fernando Andreotti, Kate Saunders, Amy C. Bilderbeck, Guy M. Goodwin, Maarten De Vos
2016	Misc	`conf`	Auditory attention decoding with EEG recordings using noisy acoustic reference signals. ICASSP Ali Aroudi, Bojana Mirkovic, Maarten De Vos, Simon Doclo
2016	—	`conf`	Fusion of electroencephalography and functional magnetic resonance imaging to explore epileptic network activity. EUSIPCO Borbála Hunyadi, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel
2016	J	`jnl`	Improving Reliability of Monitoring Background EEG Dynamics in Asphyxiated Infants. IEEE Trans. Biomed. Eng. Vladimir Matic, Perumpillichira J. Cherian, Katrien Jansen, Ninah Koolen, Gunnar Naulaers, Renate M. Swarte, Paul Govaert, Sabine Van Huffel, Maarten De Vos
2015	J	`jnl`	A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. NeuroImage Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Maarten De Vos, Wim Van Paesschen
2015	—	`conf`	Automated Respiration Detection from Neonatal Video Data. ICPRAM (2) Ninah Koolen, Olivier Decroupet, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos
2015	—	`conf`	Classifying the auditory P300 using mobile EEG recordings without calibration phase. EMBC Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos
2015	J	`jnl`	Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization. CoRR Yipeng Liu, Maarten De Vos, Sabine Van Huffel
2015	J	`jnl`	Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization. IEEE Trans. Biomed. Eng. Yipeng Liu, Maarten De Vos, Sabine Van Huffel
2015	J	`jnl`	Cross-modal reorganization in cochlear implant users: Auditory cortex contributes to visual face processing. NeuroImage Maren Stropahl, Karsten Plotz, Rüdiger Schönfeld, Thomas Lenarz, Pascale Sandmann, Galit Yovel, Maarten De Vos, Stefan Debener
2015	—	`conf`	Data-driven metric representing the maturation of preterm EEG. EMBC Ninah Koolen, Anneleen Dereymaeker, Okko Johannes Räsänen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel, Sampsa Vanhatalo
2015	—	`conf`	Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. NER Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos
2015	—	`conf`	Exploring the epileptic network with parallel ICA of interictal EEG-FMRI. EUSIPCO Borbála Hunyadi, Maarten De Vos, Wim Van Paesschen, Sabine Van Huffel
2015	—	`conf`	Improvement of an automated neonatal seizure detector using a post-processing technique. EMBC Amir Hossein Ansari, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, P. J. Cherian, Sabine Van Huffel
2015	J	`jnl`	Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study. NeuroImage Catharina Zich, Stefan Debener, Maarten De Vos, Stella Frerichs, Stefanie Maurer, Cornelia Kranczioch
2015	J	`jnl`	Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery. NeuroImage Catharina Zich, Stefan Debener, Cornelia Kranczioch, Martin G. Bleichner, Ingmar Gutberlet, Maarten De Vos
2015	—	`conf`	Single Trial Classification for Mobile BCI - A Multiway Kernel Approach. BIOSIGNALS Lieven Billiet, Borbála Hunyadi, Vladimir Matic, Sabine Van Huffel, Michel Verleysen, Maarten De Vos
2015	—	`conf`	Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings. GHTC Elina Naydenova, Athanasios Tsanas, Climent Casals-Pascual, Maarten De Vos
2014	—	`conf`	Automatic selection of epileptic independent fMRI components. EMBC Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Wim Van Paesschen, Maarten De Vos
2014	J	`jnl`	Bayesian model selection of template forward models for EEG source reconstruction. NeuroImage Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe
2014	J	`jnl`	Block term decomposition for modelling epileptic seizures. EURASIP J. Adv. Signal Process. Borbála Hunyadi, Daan Camps, Laurent Sorber, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel, Lieven De Lathauwer
2014	C	`conf`	Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. ICPRAM Ninah Koolen, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
2014	J	`jnl`	Endogenous and Rapid Serial Visual Presentation-induced Alpha Band Oscillations in the Attentional Blink. J. Cogn. Neurosci. Jolanda Janson, Maarten De Vos, Jeremy D. Thorne, Cornelia Kranczioch
2014	—	`conf`	Incorporating higher dimensionality in joint decomposition of EEG and fMRI. EUSIPCO Wout Swinnen, Borbála Hunyadi, Evrim Acar, Sabine Van Huffel, Maarten De Vos
2014	J	`jnl`	Multiple sparse volumetric priors for distributed EEG source reconstruction. NeuroImage Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe
2014	J	`jnl`	The dynamics of contour integration: A simultaneous EEG-fMRI study. NeuroImage Bogdan Mijovic, Maarten De Vos, Katrien Vanderperren, Bart Machilsen, Stefan Sunaert, Sabine Van Huffel, Johan Wagemans
2013	J	`jnl`	A new and fast approach towards sEMG decomposition. Medical Biol. Eng. Comput. Ivan Gligorijevic, Johannes P. van Dijk, Bogdan Mijovic, Sabine Van Huffel, Joleen H. Blok, Maarten De Vos
2013	—	`conf`	Automatic Burst Detection based on Line Length in the Premature EEG. BIOSIGNALS Ninah Koolen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
2013	—	`conf`	Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. PRNI Borbála Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos
2013	—	`conf`	Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task. EMBC Bogdan Mijovic, Bart Machilsen, Borbála Hunyadi, Maarten De Vos, Johan Wagemans, Sabine Van Huffel
2013	J	`jnl`	Multi-Structural Signal Recovery for Biomedical Compressive Sensing. CoRR Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel
2013	J	`jnl`	Multi-structural Signal Recovery for Biomedical Compressive Sensing. IEEE Trans. Biomed. Eng. Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel
2013	J	`jnl`	Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties. CoRR Yipeng Liu, Maarten De Vos, Sabine Van Huffel
2013	—	`conf`	Sparse reconstruction of correlated multichannel activity. EMBC Sem Peelman, Joachim van der Herten, Maarten De Vos, Wen-shin Lee, Sabine Van Huffel, Annie A. M. Cuyt
2013	—	`conf`	The quest for single trial correlations in multimodal EEG-fMRI data. EMBC Maarten De Vos, Rob Zink, Borbála Hunyadi, Bogdan Mijovic, Sabine Van Huffel, Stefan Debener
2012	J	`jnl`	A combination of parallel factor and independent component analysis. Signal Process. Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer
2012	—	`conf`	Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy. EMBC 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
2012	—	`conf`	ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. PRNI Borbála Hunyadi, Bogdan Mijovic, Simon Tousseyn, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos
2012	J	`jnl`	Let's face it, from trial to trial: Comparing procedures for N170 single-trial estimation. NeuroImage Maarten De Vos, Jeremy D. Thorne, Galit Yovel, Stefan Debener
2012	J	`jnl`	Multi-Sparse Signal Recovery for Compressive Sensing CoRR Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel
2012	—	`conf`	Multi-sparse signal recovery for compressive sensing. EMBC Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel
2012	J	`jnl`	The "why" and "how" of JointICA: Results from a visual detection task. NeuroImage 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
2011	—	`conf`	Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. EMBC Ivan Gligorijevic, Maarten De Vos, Joleen H. Blok, Bogdan Mijovic, Johannes P. van Dijk, Sabine Van Huffel
2011	—	`conf`	Automatic Seizure Detection Incorporating Structural Information. ICANN (1) Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel
2011	—	`conf`	Improvement and Validation of an Automated Neonatal Seizure Detector. BIOSIGNALS Perumpillichira J. Cherian, W. Deburchgraeve, Vladimir Matic, Maarten De Vos, Renate M. Swarte, Joleen H. Blok, Paul Govaert, Sabine Van Huffel, Gerhard H. Visser
2011	—	`conf`	Independent component analysis as a preprocessing step for data compression of neonatal EEG. EMBC Bogdan Mijovic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel
2011	J	`jnl`	Spatially constrained ICA algorithm with an application in EEG processing. Signal Process. Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
2011	J	`jnl`	The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. NeuroImage 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, Johan Wagemans
2010	J	`jnl`	Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle
2010	J	`jnl`	Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects. NeuroImage 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, Sabine Van Huffel
2010	J	`jnl`	Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle
2010	J	`jnl`	Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis. IEEE Trans. Biomed. Eng. Bogdan Mijovic, Maarten De Vos, Ivan Gligorijevic, Joachim Taelman, Sabine Van Huffel
2008	C	`conf`	Algorithm for imposing SOBI-type constraints on the CP model. ISCAS Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel
2007	J	`jnl`	Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. Comput. Intell. Neurosci. Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen
2007	J	`jnl`	Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage Maarten De Vos, Anneleen Vergult, Lieven De Lathauwer, Wim De Clercq, Sabine Van Huffel, Patrick Dupont, A. Palmini, Wim Van Paesschen
2007	—	`conf`	Imposing Independence Constraints in the CP Model. ICA Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel