Wim Van Paesschen

According to our database1, Wim Van Paesschen authored at least 27 papers between 2003 and 2018.

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

Timeline

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PhD thesis 
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Bibliography

2018
Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy.
Sensors, 2018

Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection.
Proceedings of the Computing in Cardiology, 2018

Artifact Detection of Wrist Photoplethysmograph Signals.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Live Demonstration: SeizeIT - A wearable multimodal epileptic seizure detection device.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Tensor decompositions and data fusion in epileptic electroencephalography and functional magnetic resonance imaging data.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2017

Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment.
Sensors, 2017

Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG.
Int. J. Neural Syst., 2017

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

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

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

Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG.
Proceedings of the Computing in Cardiology, 2015

2014
Voxel-based comparison of state-of-the-art reconstruction algorithms for 18F-FDG PET brain imaging using simulated and clinical data.
NeuroImage, 2014

Block term decomposition for modelling epileptic seizures.
EURASIP J. Adv. Sig. Proc., 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

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

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

2009
Detection of inter-hemispheric metabolic asymmetries in FDG-PET images using prior anatomical information.
NeuroImage, 2009

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.
Comp. Int. and Neurosc., 2007

2006
Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram.
IEEE Trans. Biomed. Engineering, 2006

Correlations of interictal FDG-PET metabolism and ictal SPECT perfusion changes in human temporal lobe epilepsy with hippocampal sclerosis.
NeuroImage, 2006

2005
Modeling common dynamics in multichannel signals with applications to artifact and background removal in EEG recordings.
IEEE Trans. Biomed. Engineering, 2005

Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions.
NeuroImage, 2005

2004
Anatomical-based FDG-PET reconstruction for the detection of hypo-metabolic regions in epilepsy.
IEEE Trans. Med. Imaging, 2004

Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
An Automated 3D Algorithm for Neo-cortical Thickness Measurement.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003


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