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 | 97 | 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 | 90 | 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 | 44 | 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 | 43 | 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 | 43 | 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 | 43 | 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 | 42 | 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 | 37 | 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 | 37 | 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 | 36 | 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 | 29 | 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 | 25 | 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 | 21 | 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 | 21 | 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 | 20 | 2019 |
Raviart–Thomas-type sources adapted to applied EEG and MEG: implementation and results S Pursiainen Inverse Problems 28 (6), 065013, 2012 | 19 | 2012 |
Two-stage reconstruction of a circular anomaly in electrical impedance tomography S Pursiainen Inverse problems 22 (5), 1689, 2006 | 19 | 2006 |
A high-order finite element method for electrical impedance tomography S Pursiainen, H Hakula PIERS Online 2 (3), 260-264, 2006 | 18 | 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 | 16 | 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 | 16 | 2018 |