Showing results (1-10 of 54) with videos related to
Sort By:
Pageof 6
Neuroimage|September 9, 2008
A space-frequency analysis of MEG background processesFetsje Bijma, Jan C de MunckNeuroimage|July 16, 2005
The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker productsFetsje Bijma, Jan C de Munck, Rob M HeethaarNeuroimage|October 7, 2003
A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurementsFetsje Bijma, Jan C de Munck, Hilde M Huizenga, et al.Neuroimage|June 15, 2015
A three domain covariance framework for EEG/MEG dataBeata P Roś, Fetsje Bijma, Mathisca C M de Gunst, et al.Plos One|February 10, 2017
Regional analysis of volumes and reproducibilities of automatic and manual hippocampal segmentationsFabian Bartel, Hugo Vrenken, Fetsje Bijma, et al.Neuroimage|November 6, 2004
The coupled dipole model: an integrated model for multiple MEG/EEG data setsFetsje Bijma, Jan C de Munck, Koen B E Böcker, et al.IEEE Transactions on Bio-Medical Engineering|June 20, 2003
In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the headSónia I Gonçalves, Jan C de Munck, Jeroen P A Verbunt, et al.Human Brain Mapping|January 13, 2011
Data-driven modeling of phase interactions between spontaneous MEG oscillationsRikkert Hindriks, Fetsje Bijma, Bob W van Dijk, et al.IEEE Transactions on Bio-Medical Engineering|December 21, 2004
A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data setsJan Casper de Munck, Fetsje Bijma, Pawel Gaura, et al.Journal of Biophotonics|July 1, 2018
Tensor regularized total variation for denoising of third harmonic generation images of brain tumorsZhiqing Zhang, Marie L Groot, Jan C de MunckPageof 6