Matti Stenroos
Matti Stenroos
Researcher & Lecturer at Aalto University, Finland
Verified email at
Cited by
Cited by
Measuring MEG closer to the brain: Performance of on-scalp sensor arrays
J Iivanainen, M Stenroos, L Parkkonen
NeuroImage 147, 542-553, 2017
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
Comparison of three-shell and simplified volume conductor models in magnetoencephalography
M Stenroos, A Hunold, J Haueisen
Neuroimage 94, 337-348, 2014
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
Bioelectromagnetic forward problem: isolated source approach revis (it) ed
M Stenroos, J Sarvas
Physics in Medicine & Biology 57 (11), 3517, 2012
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
Recovering TMS-evoked EEG responses masked by muscle artifacts
TP Mutanen, M Kukkonen, JO Nieminen, M Stenroos, J Sarvas, ...
Neuroimage 139, 157-166, 2016
Incorporating and Compensating Cerebrospinal Fluid in Surface-Based Forward Models of Magneto- and Electroencephalography
M Stenroos, A Nummenmaa
PLOS ONE, 2016
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
Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback
AE Tervo, JO Nieminen, P Lioumis, J Metsomaa, VH Souza, H Sinisalo, ...
Brain stimulation 15 (2), 523-531, 2022
Minimum norm cortical source estimation in layered head models is robust against skull conductivity error
M Stenroos, O Hauk
NeuroImage 81, 265-272, 2013
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
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
Comparison of beamformer implementations for MEG source localization
A Jaiswal, J Nenonen, M Stenroos, A Gramfort, SS Dalal, BU Westner, ...
NeuroImage 216, 116797, 2020
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
Multi-locus transcranial magnetic stimulation system for electronically targeted brain stimulation
JO Nieminen, H Sinisalo, VH Souza, M Malmi, M Yuryev, AE Tervo, ...
Brain stimulation 15 (1), 116-124, 2022
Requirements for coregistration accuracy in on-scalp MEG
R Zetter, J Iivanainen, M Stenroos, L Parkkonen
Brain topography 31, 931-948, 2018
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
Real-time computation of the TMS-induced electric field in a realistic head model
M Stenroos, LM Koponen
Neuroimage 203, 116159, 2019
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
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