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2020 – today
- 2024
[j65]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: 108205 (2024)- [j64]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 623-651 (2024) - [j63]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): 652 (2024) - [j62]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: 114234 (2024) - [j61]Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, Theerawit Wilaiprasitporn:
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. IEEE Internet Things J. 11(17): 28539-28554 (2024) - [j60]Davide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos:
Ten quick tips for electrocardiogram (ECG) signal processing. PeerJ Comput. Sci. 10: e2295 (2024) - [j59]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): 318-325 (2024) - [j58]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. IEEE Trans. Biomed. Eng. 71(8): 2442-2453 (2024) - [j57]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): 491-501 (2024) - [j56]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): 3721-3731 (2024) - [j55]Kristian P. Lorenzen, Elisabeth R. M. Heremans, Maarten De Vos, Kaare B. Mikkelsen:
Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. IEEE J. Biomed. Health Informatics 28(10): 5804-5815 (2024) - [j54]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. IEEE Trans. Knowl. Data Eng. 36(12): 7743-7756 (2024) - [c54]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Multi-View Extension for Change Point Detection via Time-Invariant Representations. EUSIPCO 2024: 2732-2736 - [i32]Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos:
Improving Multimodal Learning with Multi-Loss Gradient Modulation. CoRR abs/2405.07930 (2024) - [i31]Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, Theerawit Wilaiprasitporn:
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. CoRR abs/2409.04104 (2024) - [i30]Konstantinos Kontras, Thomas Strypsteen, Christos Chatzichristos, Paul P. Liang, Matthew B. Blaschko, Maarten De Vos:
Multimodal Fusion Balancing Through Game-Theoretic Regularization. CoRR abs/2411.07335 (2024) - 2023
- [j53]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): 100878 (2023) - [j52]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: 1737-1741 (2023) - [j51]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): 3633-3644 (2023) - [j50]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): 4748-4757 (2023) - [c53]Christos Chatzichristos, Miguel Bhagubai, Wim Van Paesschen, Maarten De Vos:
Epilepsy Detection Grand Challenge. ICASSP 2023: 1-2 - [c52]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: 1-5 - [c51]Angeliki-Ilektra Karaiskou, Carolina Varon, Kaat Alaerts, Maarten De Vos:
Cross-Subject Mindfulness Meditation EEG Decoding. MetroXRAINE 2023: 781-786 - [c50]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: 1-6 - [c49]Elisabeth R. M. Heremans, Maarten De Vos:
Explaining Uncertainty in AI for Clinical Decision Support Systems. PKDD/ECML Workshops (2) 2023: 404-411 - [c48]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: 1587-1592 - [c47]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: 700-704 - [i29]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 abs/2301.03441 (2023) - [i28]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 abs/2304.06485 (2023) - [i27]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 abs/2304.06678 (2023) - [i26]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 abs/2306.04663 (2023) - [i25]Joran Michiels, Maarten De Vos, Johan A. K. Suykens:
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value. CoRR abs/2306.10880 (2023) - [i24]Joran Michiels, Maarten De Vos, Johan A. K. Suykens:
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions. CoRR abs/2306.16431 (2023) - 2022
- [j49]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: 54891-54898 (2022) - [j48]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: 104009 (2022) - [j47]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): 5903-5915 (2022) - [j46]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): 7142 (2022) - [j45]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. IEEE Trans. Biomed. Eng. 69(2): 882-893 (2022) - [j44]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): 1564-1572 (2022) - [j43]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): 2456-2467 (2022) - [j42]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): 1023-1033 (2022) - [j41]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): 3447-3457 (2022) - [c46]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: 1-4 - [c45]Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis:
Semi-supervised Change Point Detection Using Active Learning. DS 2022: 74-88 - [c44]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: 1-8 - [i23]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 abs/2201.00644 (2022) - [i22]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
EventNet: Detecting Events in EEG. CoRR abs/2209.11007 (2022) - 2021
- [j40]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: 158936-158945 (2021) - [j39]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: 117508 (2021) - [j38]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): 1046 (2021) - [j37]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): 6311 (2021) - [j36]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): 1787-1798 (2021) - [j35]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): 838-849 (2021) - [j34]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: 3513-3524 (2021) - [c43]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: 266-285 - [i21]Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward:
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. CoRR abs/2102.12245 (2021) - [i20]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 abs/2103.09171 (2021) - [i19]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 abs/2105.11043 (2021) - 2020
- [j33]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: 1700-1704 (2020) - [j32]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): 3491-3500 (2020) - [i18]Huy Phan, Ian Vince McLoughlin, Lam Dang Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins:
Improving GANs for Speech Enhancement. CoRR abs/2001.05532 (2020) - [i17]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 abs/2004.11349 (2020) - [i16]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 abs/2007.02064 (2020) - [i15]Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos:
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging. CoRR abs/2007.05492 (2020) - [i14]Tim De Ryck, Maarten De Vos, Alexander Bertrand:
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation. CoRR abs/2008.09524 (2020)
2010 – 2019
- 2019
- [j31]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): 1850011:1-1850011:20 (2019) - [j30]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: 72-82 (2019) - [j29]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): 1285-1296 (2019) - [j28]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): 1402-1411 (2019) - [c42]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: 1829-1833 - [c41]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: 1-5 - [c40]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: 51-55 - [c39]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: 3927-3930 - [c38]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: 3845-3849 - [i13]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 abs/1904.03543 (2019) - [i12]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 abs/1904.05945 (2019) - [i11]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 abs/1907.13177 (2019) - 2018
- [j27]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): 1114-1123 (2018) - [c37]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: 1-4 - [c36]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: 171-174 - [c35]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: 453-456 - [c34]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: 1452-1455 - [c33]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: 1460-1463 - [c32]John Prince, Maarten De Vos:
A Deep Learning Framework for the Remote Detection of Parkinson'S Disease Using Smart-Phone Sensor Data. EMBC 2018: 3144-3147 - [c31]Fernando Andreotti, Huy Phan, Maarten De Vos:
Visualising convolutional neural network decisions in automated sleep scoring. AIH@IJCAI 2018: 70-81 - [i10]Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos:
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. CoRR abs/1805.06546 (2018) - [i9]Kirubin Pillay, Maarten De Vos:
A unifying Bayesian approach for preterm brain-age prediction that models EEG sleep transitions over age. CoRR abs/1809.07102 (2018) - [i8]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 abs/1809.10932 (2018) - [i7]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 abs/1811.01092 (2018) - [i6]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 abs/1811.01095 (2018) - [i5]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 abs/1811.04662 (2018) - 2017
- [j26]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): 1750023:1-1750023:18 (2017) - [j25]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): 1761-1771 (2017) - [c30]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 - [c29]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 - [c28]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: 2810-2813 - 2016
- [j24]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): 973-983 (2016) - [c27]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: 240-244 - [c26]Ali Aroudi, Bojana Mirkovic, Maarten De Vos, Simon Doclo:
Auditory attention decoding with EEG recordings using noisy acoustic reference signals. ICASSP 2016: 694-698 - 2015
- [j23]Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Maarten De Vos, Wim Van Paesschen:
A prospective fMRI-based technique for localising the epileptogenic zone in presurgical evaluation of epilepsy. NeuroImage 113: 329-339 (2015) - [j22]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: 438-447 (2015) - [j21]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: 80-91 (2015) - [j20]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: 159-170 (2015) - [j19]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): 2055-2061 (2015) - [c25]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: 5-11 - [c24]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: 1492-1495 - [c23]Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos:
Classifying the auditory P300 using mobile EEG recordings without calibration phase. EMBC 2015: 1777-1780 - [c22]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: 5859-5862 - [c21]Borbála Hunyadi, Maarten De Vos, Wim Van Paesschen, Sabine Van Huffel:
Exploring the epileptic network with parallel ICA of interictal EEG-FMRI. EUSIPCO 2015: 429-433 - [c20]Elina Naydenova, Athanasios Tsanas, Climent Casals-Pascual, Maarten De Vos:
Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings. GHTC 2015: 377-384 - [c19]Ninah Koolen, Olivier Decroupet, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos:
Automated Respiration Detection from Neonatal Video Data. ICPRAM (2) 2015: 164-169 - [c18]Rob Zink, Borbála Hunyadi, Sabine Van Huffel, Maarten De Vos:
Exploring CPD based unsupervised classification for auditory BCI with mobile EEG. NER 2015: 53-56 - [i4]Yipeng Liu, Maarten De Vos, Sabine Van Huffel:
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization. CoRR abs/1506.08499 (2015) - 2014
- [j18]Borbála Hunyadi, Daan Camps, Laurent Sorber, Wim Van Paesschen, Maarten De Vos, Sabine Van Huffel, Lieven De Lathauwer:
Block term decomposition for modelling epileptic seizures. EURASIP J. Adv. Signal Process. 2014: 139 (2014) - [j17]Jolanda Janson, Maarten De Vos, Jeremy D. Thorne, Cornelia Kranczioch:
Endogenous and Rapid Serial Visual Presentation-induced Alpha Band Oscillations in the Attentional Blink. J. Cogn. Neurosci. 26(7): 1454-1468 (2014) - [j16]Bogdan Mijovic, Maarten De Vos, Katrien Vanderperren, Bart Machilsen, Stefan Sunaert, Sabine Van Huffel, Johan Wagemans:
The dynamics of contour integration: A simultaneous EEG-fMRI study. NeuroImage 88: 10-21 (2014) - [j15]Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe:
Bayesian model selection of template forward models for EEG source reconstruction. NeuroImage 93: 11-22 (2014) - [j14]Gregor Strobbe, Pieter van Mierlo, Maarten De Vos, Bogdan Mijovic, Hans Hallez, Sabine Van Huffel, José David López, Stefaan Vandenberghe:
Multiple sparse volumetric priors for distributed EEG source reconstruction. NeuroImage 100: 715-724 (2014) - [c17]Borbála Hunyadi, Simon Tousseyn, Patrick Dupont, Sabine Van Huffel, Wim Van Paesschen, Maarten De Vos:
Automatic selection of epileptic independent fMRI components. EMBC 2014: 3853-3856 - [c16]Wout Swinnen, Borbála Hunyadi, Evrim Acar, Sabine Van Huffel, Maarten De Vos:
Incorporating higher dimensionality in joint decomposition of EEG and fMRI. EUSIPCO 2014: 121-125 - [c15]Ninah Koolen, Anneleen Dereymaeker, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Development of an Interhemispheric Symmetry Measurement in the Neonatal Brain. ICPRAM 2014: 765-770 - 2013
- [j13]Ivan Gligorijevic, Johannes P. van Dijk, Bogdan Mijovic, Sabine Van Huffel, Joleen H. Blok, Maarten De Vos:
A new and fast approach towards sEMG decomposition. Medical Biol. Eng. Comput. 51(5): 593-605 (2013) - [j12]Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel:
Multi-structural Signal Recovery for Biomedical Compressive Sensing. IEEE Trans. Biomed. Eng. 60(10): 2794-2805 (2013) - [c14]Ninah Koolen, Katrien Jansen, Jan Vervisch, Vladimir Matic, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel:
Automatic Burst Detection based on Line Length in the Premature EEG. BIOSIGNALS 2013: 105-111 - [c13]Sem Peelman, Joachim van der Herten, Maarten De Vos, Wen-shin Lee, Sabine Van Huffel, Annie A. M. Cuyt:
Sparse reconstruction of correlated multichannel activity. EMBC 2013: 3897-3900 - [c12]Bogdan Mijovic, Bart Machilsen, Borbála Hunyadi, Maarten De Vos, Johan Wagemans, Sabine Van Huffel:
Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task. EMBC 2013: 6019-6022 - [c11]Maarten De Vos, Rob Zink, Borbála Hunyadi, Bogdan Mijovic, Sabine Van Huffel, Stefan Debener:
The quest for single trial correlations in multimodal EEG-fMRI data. EMBC 2013: 6027-6030 - [c10]Borbála Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos:
Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. PRNI 2013: 98-101 - [i3]Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel:
Multi-Structural Signal Recovery for Biomedical Compressive Sensing. CoRR abs/1306.6510 (2013) - [i2]Yipeng Liu, Maarten De Vos, Sabine Van Huffel:
Robust Sparse Signal Recovery for Compressed Sensing with Sampling and Dictionary Uncertainties. CoRR abs/1311.4924 (2013) - 2012
- [j11]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:
The "why" and "how" of JointICA: Results from a visual detection task. NeuroImage 60(2): 1171-1185 (2012) - [j10]Maarten De Vos, Jeremy D. Thorne, Galit Yovel, Stefan Debener:
Let's face it, from trial to trial: Comparing procedures for N170 single-trial estimation. NeuroImage 63(3): 1196-1202 (2012) - [j9]Maarten De Vos, Dimitri Nion, Sabine Van Huffel, Lieven De Lathauwer:
A combination of parallel factor and independent component analysis. Signal Process. 92(12): 2990-2999 (2012) - [c9]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:
Automated EEG inter-burst interval detection in neonates with mild to moderate postasphyxial encephalopathy. EMBC 2012: 17-20 - [c8]Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Multi-sparse signal recovery for compressive sensing. EMBC 2012: 1053-1056 - [c7]Borbála Hunyadi, Bogdan Mijovic, Simon Tousseyn, Patrick Dupont, Wim Van Paesschen, Sabine Van Huffel, Maarten De Vos:
ICA Component Selection Based on Sparse Activelet Reconstruction for fMRI Analysis in Refractory Focal Epilepsy. PRNI 2012: 21-24 - [i1]Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Multi-Sparse Signal Recovery for Compressive Sensing. CoRR abs/1206.0663 (2012) - 2011
- [j8]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:
The BOLD correlates of the visual P1 and N1 in single-trial analysis of simultaneous EEG-fMRI recordings during a spatial detection task. NeuroImage 54(2): 824-835 (2011) - [j7]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Spatially constrained ICA algorithm with an application in EEG processing. Signal Process. 91(8): 1963-1972 (2011) - [c6]Perumpillichira J. Cherian, W. Deburchgraeve, Vladimir Matic, Maarten De Vos, Renate M. Swarte, Joleen H. Blok, Paul Govaert, Sabine Van Huffel, Gerhard H. Visser:
Improvement and Validation of an Automated Neonatal Seizure Detector. BIOSIGNALS 2011: 31-37 - [c5]Ivan Gligorijevic, Maarten De Vos, Joleen H. Blok, Bogdan Mijovic, Johannes P. van Dijk, Sabine Van Huffel:
Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG. EMBC 2011: 4090-4093 - [c4]Bogdan Mijovic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel:
Independent component analysis as a preprocessing step for data compression of neonatal EEG. EMBC 2011: 7316-7319 - [c3]Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel:
Automatic Seizure Detection Incorporating Structural Information. ICANN (1) 2011: 233-240 - 2010
- [j6]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:
Removal of BCG artifacts from EEG recordings inside the MR scanner: A comparison of methodological and validation-related aspects. NeuroImage 50(3): 920-934 (2010) - [j5]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(2): 135-150 (2010) - [j4]Maarten De Vos, Stéphanie Riès, Katrien Vanderperren, Bart Vanrumste, Francois-Xavier Alario, Sabine Van Huffel, Borís Burle:
Erratum to: Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production. Neuroinformatics 8(3): 155 (2010) - [j3]Bogdan Mijovic, Maarten De Vos, Ivan Gligorijevic, Joachim Taelman, Sabine Van Huffel:
Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis. IEEE Trans. Biomed. Eng. 57(9): 2188-2196 (2010)
2000 – 2009
- 2008
- [c2]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Algorithm for imposing SOBI-type constraints on the CP model. ISCAS 2008: 1344-1347 - 2007
- [j2]Maarten De Vos, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, Wim Van Paesschen:
Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study. Comput. Intell. Neurosci. 2007 (2007) - [j1]Maarten De Vos, Anneleen Vergult, Lieven De Lathauwer, Wim De Clercq, Sabine Van Huffel, Patrick Dupont, A. Palmini, Wim Van Paesschen:
Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage 37(3): 844-854 (2007) - [c1]Maarten De Vos, Lieven De Lathauwer, Sabine Van Huffel:
Imposing Independence Constraints in the CP Model. ICA 2007: 33-40
Coauthor Index
[j42] [j38] [j31] [j27] [j26] [c28] [j24] [c27] [j23] [j19] [c25] [c24] [c23] [c22] [c21] [c19] [c18] [i4] [j18] [j16] [j15] [j14] [c17] [c16] [c15] [j13] [j12] [c14] [c13] [c12] [c11] [c10] [i3] [i2] [j11] [j9] [c9] [c8] [c7] [i1] [j8] [j7] [c6] [c5] [c4] [c3] [j6] [j5] [j4] [j3] [c2] [j2] [j1] [c1]
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