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Matti Stenroos
Matti Stenroos
Researcher & Lecturer at Aalto University, Finland
Verified email at aalto.fi
Title
Cited by
Cited by
Year
Measuring MEG closer to the brain: Performance of on-scalp sensor arrays
J Iivanainen, M Stenroos, L Parkkonen
NeuroImage 147, 542-553, 2017
1462017
A Matlab library for solving quasi-static volume conduction problems using the boundary element method
M Stenroos, V Mäntynen, J Nenonen
Computer methods and programs in biomedicine 88 (3), 256-263, 2007
1182007
Comparison of three-shell and simplified volume conductor models in magnetoencephalography
M Stenroos, A Hunold, J Haueisen
Neuroimage 94, 337-348, 2014
1012014
Bioelectromagnetic forward problem: isolated source approach revis (it) ed
M Stenroos, J Sarvas
Physics in Medicine & Biology 57 (11), 3517, 2012
872012
Comparison of spherical and realistically shaped boundary element head models for transcranial magnetic stimulation navigation
A Nummenmaa, M Stenroos, RJ Ilmoniemi, YC Okada, MS Hämäläinen, ...
Clinical Neurophysiology 10, 1995-2007, 2013
812013
Recovering TMS-evoked EEG responses masked by muscle artifacts
TP Mutanen, M Kukkonen, JO Nieminen, M Stenroos, J Sarvas, ...
Neuroimage 139, 157-166, 2016
572016
Coil optimisation for transcranial magnetic stimulation in realistic head geometry
LM Koponen, JO Nieminen, TP Mutanen, M Stenroos, RJ Ilmoniemi
Brain stimulation 10 (4), 795-805, 2017
552017
Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography
M Stenroos, A Nummenmaa
PLOS ONE, 2016
552016
Uncovering neural independent components from highly artifactual TMS-evoked EEG data
JC Hernandez-Pavon, J Metsomaa, T Mutanen, M Stenroos, H Mäki, ...
Journal of Neuroscience methods 209 (1), 144-157, 2012
552012
Boundary element computations in the forward and inverse problems of electrocardiography: comparison of collocation and Galerkin weightings
M Stenroos, J Haueisen
IEEE Transactions on Biomedical Engineering 55 (9), 2124-2133, 2008
472008
A framework for the design of flexible cross‐talk functions for spatial filtering of EEG/MEG data: DeFleCT
O Hauk, M Stenroos
Human brain mapping 35 (4), 1642-1653, 2014
412014
Minimum norm cortical source estimation in layered head models is robust against skull conductivity error
M Stenroos, O Hauk
NeuroImage 81, 265-272, 2013
412013
EEG and MEG: sensitivity to epileptic spike activity as function of source orientation and depth
A Hunold, ME Funke, R Eichardt, M Stenroos, J Haueisen
Physiological measurement 37 (7), 1146, 2016
392016
The transfer matrix for epicardial potential in a piece-wise homogeneous thorax model: the boundary element formulation
M Stenroos
Physics in medicine and biology 54 (18), 5443-5455, 2009
342009
Dealing with artifacts in TMS-evoked EEG
RJ Ilmoniemi, JC Hernandez-Pavon, NN Mäkelä, J Metsomaa, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
312015
Requirements for coregistration accuracy in on-scalp MEG
R Zetter, J Iivanainen, M Stenroos, L Parkkonen
Brain topography 31 (6), 931-948, 2018
262018
Investigations of sensitivity and resolution of ECG and MCG in a realistically shaped thorax model
V Mäntynen, T Konttila, M Stenroos
Physics in Medicine & Biology 59 (23), 7141, 2014
222014
Comparison of beamformer implementations for MEG source localization
A Jaiswal, J Nenonen, M Stenroos, A Gramfort, SS Dalal, BU Westner, ...
NeuroImage 216, 116797, 2020
202020
Real-time computation of the TMS-induced electric field in a realistic head model
M Stenroos, LM Koponen
NeuroImage 203, 116159, 2019
202019
The impact of improved MEG–MRI co-registration on MEG connectivity analysis
F Chella, L Marzetti, M Stenroos, L Parkkonen, RJ Ilmoniemi, GL Romani, ...
Neuroimage 197, 354-367, 2019
202019
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