An Automated 3D Algorithm for Neo-cortical Thickness Measurement. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Patrick Dupont; Wim Van Paesschen; Paul Suetens (MICCAI (2), 2003)

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions. - Siddharth Srivastava 005; Dirk Vandermeulen; Frederik Maes; Paul Suetens; Wim Van Paesschen; Patrick Dupont (ISBI, 2004)

Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Wim Van Paesschen; Patrick Dupont; Paul Suetens (MICCAI (1), 2004)

Evaluation of anatomy based reconstruction for partial volume correction in brain FDG-PET. - Kristof Baete; Johan Nuyts; Koen Van Laere; Wim Van Paesschen; Sarah Ceyssens; Liesbet De Ceuninck; Olivier Gheysens; Annemarie Kelles; Jimmy Van den Eynden; Paul Suetens; Patrick Dupont (NeuroImage, 2004)

Anatomical-based FDG-PET reconstruction for the detection of hypo-metabolic regions in epilepsy. - Kristof Baete; Johan Nuyts; Wim Van Paesschen; Paul Suetens; Patrick Dupont (IEEE Trans. Medical Imaging, 2004)

Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. - Siddharth Srivastava 005; Frederik Maes; Dirk Vandermeulen; Wim Van Paesschen; Patrick Dupont; Paul Suetens (NeuroImage, 2005)

Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings. - Wim De Clercq; Bart Vanrumste; Jean-Michel Papy; Wim Van Paesschen; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2005)

Muscle and eye movement artifact removal prior to EEG source localization. - Hans Hallez; Anneleen Vergult; Ronald Phlypo; Peter Van Hese; Wim De Clercq; Yves D'Asseler; Rik Van de Walle; Bart Vanrumste; Wim Van Paesschen; Sabine Van Huffel; Ignace Lemahieu (EMBC, 2006)

Correlations of interictal FDG-PET metabolism and ictal SPECT perfusion changes in human temporal lobe epilepsy with hippocampal sclerosis. - Natalie Nelissen; Wim Van Paesschen; Kristof Baete; Koen Van Laere; A. Palmini; H. Van Billoen; Patrick Dupont (NeuroImage, 2006)

Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram. - Wim De Clercq; Anneleen Vergult; Bart Vanrumste; Wim Van Paesschen; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2006)

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)

Detection of inter-hemispheric metabolic asymmetries in FDG-PET images using prior anatomical information. - Lin Zhou; Patrick Dupont; Kristof Baete; Wim Van Paesschen; Koen Van Laere; Johan Nuyts (NeuroImage, 2009)

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)

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)

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

Voxel-based comparison of state-of-the-art reconstruction algorithms for 18F-FDG PET brain imaging using simulated and clinical data. - Kathleen Vunckx; Patrick Dupont; Karolien Goffin; Wim Van Paesschen; Koen Van Laere; Johan Nuyts (NeuroImage, 2014)

Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG. - Thomas De Cooman; Anouk Van de Vel; Berten Ceulemans; Lieven Lagae; Wim Van Paesschen; Bart Vanrumste; Sabine Van Huffel (CinC, 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)

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)

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)

Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG. - Thomas De Cooman; Carolina Varon; Borbála Hunyadi; Wim Van Paesschen; Lieven Lagae; Sabine Van Huffel (Int. J. Neural Syst., 2017)

Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment. - Kaat Vandecasteele; Thomas De Cooman; Ying Gu; Evy Cleeren; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (Sensors, 2017)

Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data. - Borbála Hunyadi; Patrick Dupont; Wim Van Paesschen; Sabine Van Huffel (WIREs Data Mining Knowl. Discov., 2017)

Live Demonstration: SeizeIT - A wearable multimodal epileptic seizure detection device. - Steven Boeckx; Wim Van Paesschen; Brecht Bonte; Jonathan Dan (BioCAS, 2018)

Artifact Detection of Wrist Photoplethysmograph Signals. - Kaat Vandecasteele; Jesús Lázaro 002; Evy Cleeren; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (BIOSIGNALS, 2018)

Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection. - Thomas De Cooman; Carolina Varon; Wim Van Paesschen; Sabine Van Huffel (CinC, 2018)

Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. - Ying Gu; Evy Cleeren; Jonathan Dan; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (Sensors, 2018)

Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography. - Jonathan Dan; Benjamin Vandendriessche; Wim Van Paesschen; Dorien Weckhuysen; Alexander Bertrand (Int. J. Neural Syst., 2020)

Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data. - Simon Van Eyndhoven; Patrick Dupont; Simon Tousseyn; Nico Vervliet; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (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)

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

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)

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)