Sampsa Pursiainen
Cited by
Cited by
Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: depth localization and source separation for focal primary currents
F Lucka, S Pursiainen, M Burger, CH Wolters
NeuroImage 61 (4), 1364-1382, 2012
Conditionally Gaussian hypermodels for cerebral source localization
D Calvetti, H Hakula, S Pursiainen, E Somersalo
SIAM Journal on Imaging Sciences 2 (3), 879-909, 2009
Forward simulation and inverse dipole localization with the lowest order Raviart—Thomas elements for electroencephalography
S Pursiainen, A Sorrentino, C Campi, M Piana
Inverse Problems 27 (4), 045003, 2011
A realistic, accurate and fast source modeling approach for the EEG forward problem
T Miinalainen, A Rezaei, D Us, A Nüßing, C Engwer, CH Wolters, ...
NeuroImage 184, 56-67, 2019
A mixed finite element method to solve the EEG forward problem
J Vorwerk, C Engwer, S Pursiainen, CH Wolters
IEEE transactions on medical imaging 36 (4), 930-941, 2016
Numerical implementation of the factorization method within the complete electrode model of electrical impedance tomography
N Hyvonen, H Hakula, S Pursiainen
Inverse Problems and Imaging 1 (2), 299, 2007
Complete electrode model in EEG: relationship and differences to the point electrode model
S Pursiainen, F Lucka, CH Wolters
Physics in Medicine & Biology 57 (4), 999, 2012
DUNEuro—A software toolbox for forward modeling in bioelectromagnetism
S Schrader, A Westhoff, MC Piastra, T Miinalainen, S Pursiainen, ...
PloS one 16 (6), e0252431, 2021
Electroencephalography (EEG) forward modeling via H (div) finite element sources with focal interpolation
S Pursiainen, J Vorwerk, CH Wolters
Physics in Medicine & Biology 61 (24), 8502, 2016
Comparison study for Whitney (Raviart–Thomas)-type source models in finite-element-method-based EEG forward modeling
M Bauer, S Pursiainen, J Vorwerk, H Köstler, CH Wolters
IEEE Transactions on Biomedical Engineering 62 (11), 2648-2656, 2015
Zeffiro user interface for electromagnetic brain imaging: A GPU accelerated FEM tool for forward and inverse computations in Matlab
Q He, A Rezaei, S Pursiainen
Neuroinformatics 18, 237-250, 2020
Iterative alternating sequential (IAS) method for radio tomography of asteroids in 3D
S Pursiainen, M Kaasalainen
Planetary and Space Science 82, 84-98, 2013
Reconstructing subcortical and cortical somatosensory activity via the RAMUS inverse source analysis technique using median nerve SEP data
A Rezaei, J Lahtinen, F Neugebauer, M Antonakakis, MC Piastra, ...
Neuroimage 245, 118726, 2021
Advanced boundary electrode modeling for tES and parallel tES/EEG
S Pursiainen, B Agsten, S Wagner, CH Wolters
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (1), 37-44, 2017
Bistatic full-wave radar tomography detects deep interior voids, cracks, and boulders in a rubble-pile asteroid model
LI Sorsa, M Takala, P Bambach, J Deller, E Vilenius, S Pursiainen
The Astrophysical Journal 872 (1), 44, 2019
Raviart–Thomas-type sources adapted to applied EEG and MEG: implementation and results
S Pursiainen
Inverse Problems 28 (6), 065013, 2012
Two-stage reconstruction of a circular anomaly in electrical impedance tomography
S Pursiainen
Inverse problems 22 (5), 1689, 2006
A high-order finite element method for electrical impedance tomography
S Pursiainen, H Hakula
PIERS Online 2 (3), 260-264, 2006
A time-domain multigrid solver with higher-order Born approximation for full-wave radar tomography of a complex-shaped target
LI Sorsa, M Takala, C Eyraud, S Pursiainen
IEEE Transactions on Computational Imaging 6, 579-590, 2020
DISCUS–The Deep Interior Scanning CubeSat mission to a rubble pile near-Earth asteroid
P Bambach, J Deller, E Vilenius, S Pursiainen, M Takala, HM Braun, ...
Advances in Space Research 62 (12), 3357-3368, 2018
The system can't perform the operation now. Try again later.
Articles 1–20