Jan C. de Munck

Orcid: 0000-0002-5206-0086

According to our database1, Jan C. de Munck authored at least 47 papers between 1988 and 2021.

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

Timeline

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On csauthors.net:

Bibliography

2021
Data-Driven EEG Informed Functional MRI Combined with Network Analysis Successfully Identifies the Seizure Onset Zone.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2017
Extracting morphologies from third harmonic generation images of structurally normal human brain tissue.
Bioinform., 2017

2016
Multimodal Source Imaging: Basic Methods, Signal Processing Techniques, and Applications.
IEEE Trans. Biomed. Eng., 2016

Effectiveness of Reference Signal-Based Methods for Removal of EEG Artifacts Due to Subtle Movements During fMRI Scanning.
IEEE Trans. Biomed. Eng., 2016

Determination of head conductivity frequency response in vivo with optimized EIT-EEG.
NeuroImage, 2016

Existence and uniqueness of the maximum likelihood estimator for models with a Kronecker product covariance structure.
J. Multivar. Anal., 2016

Optimized in vivo conductivity estimation using BEM.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A three domain covariance framework for EEG/MEG data.
NeuroImage, 2015

2013
Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction.
NeuroImage, 2013

EEG-fMRI correlation patterns in the presurgical evaluation of focal epilepsy: A comparison with electrocorticographic data and surgical outcome measures.
NeuroImage, 2013

2012
A semi-automatic method to determine electrode positions and labels from gel artifacts in EEG/fMRI-studies.
NeuroImage, 2012

A framework to integrate EEG-correlated fMRI and intracerebral recordings.
NeuroImage, 2012

Fast Eigenvector Centrality Mapping of Voxel-Wise Connectivity in Functional Magnetic Resonance Imaging: Implementation, Validation, and Interpretation.
Brain Connect., 2012

2009
Interactions between different EEG frequency bands and their effect on alpha-fMRI correlations.
NeuroImage, 2009

2008
A study of the brain's resting state based on alpha band power, heart rate and fMRI.
NeuroImage, 2008

A space-frequency analysis of MEG background processes.
NeuroImage, 2008

A Data and Model-Driven Approach to Explore Inter-Subject Variability of Resting-State Brain Activity Using EEG-fMRI.
IEEE J. Sel. Top. Signal Process., 2008

Inter-subject variability of resting state brain activity explored using a data and model-driven approach in combination with EEG-FMRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Volume conduction.
Scholarpedia, 2007

The hemodynamic response of the alpha rhythm: An EEG/fMRI study.
NeuroImage, 2007

The Relation between Alpha Band Power, Heart Rate and Fmri.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease.
NeuroImage, 2006

Analysis of EEG-fMRI data in focal epilepsy based on automated spike classification and Signal Space Projection.
NeuroImage, 2006

Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability.
NeuroImage, 2006

Signal processing aspects of simultaneously recorded EEG, PULSE and fMRI.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Multimodality in brain imaging: Methodological aspects and applications.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006

2005
Simultaneous estimation and testing of sources in multiple MEG data sets.
IEEE Trans. Signal Process., 2005

The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker products.
NeuroImage, 2005

2004
A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets.
IEEE Trans. Biomed. Eng., 2004

The coupled dipole model: an integrated model for multiple MEG/EEG data sets.
NeuroImage, 2004

2003
In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head.
IEEE Trans. Biomed. Eng., 2003

In vivo measurement of the brain and skull resistivities using an EIT-based method and the combined analysis of SEF/SEP data.
IEEE Trans. Biomed. Eng., 2003

The influence of brain tumor treatment on pathological delta activity in MEG.
NeuroImage, 2003

A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurements.
NeuroImage, 2003

2002
Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise.
IEEE Trans. Signal Process., 2002

Model selection in electromagnetic source analysis with an application to VEFs.
IEEE Trans. Biomed. Eng., 2002

Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model.
IEEE Trans. Biomed. Eng., 2002

2001
The localization of spontaneous brain activity: an efficient way to analyze large data sets.
IEEE Trans. Biomed. Eng., 2001

A fast method to derive realistic BEM models for E/MEG source reconstruction.
IEEE Trans. Biomed. Eng., 2001

The Effect of Organ Motion and Image Artifacts on Monomodal Volume Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

2000
The boundary element method in the forward and inverse problem of electrical impedance tomography.
IEEE Trans. Biomed. Eng., 2000

1997
The effect of image artifacts, organ motion and poor segmentation on the reliability and accuracy of 3D chamfer matching.
Proceedings of the CVRMed-MRCAS'97, 1997

1996
The computation of MR image distortions caused by tissue susceptibility using the boundary element method.
IEEE Trans. Medical Imaging, 1996

1993
A fast method to compute the potential in the multisphere model (EEG application).
IEEE Trans. Biomed. Eng., 1993

1992
A random dipole model for spontaneous brain activity.
IEEE Trans. Biomed. Eng., 1992

A linear discretization of the volume conductor boundary integral equation using analytically integrated elements (electrophysiology application).
IEEE Trans. Biomed. Eng., 1992

1988
Mathematical dipoles are adequate to describe realistic generators of human brain activity.
IEEE Trans. Biomed. Eng., 1988


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