Sampsa Pursiainen

Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents

Felix Lucka, Sampsa Pursiainen, Martin Burger et al. · NeuroImage · 2012 · 88 citations

Neuroimaging Modality, Neurophysiology, Computational Neuroscience +15

Conditionally Gaussian Hypermodels for Cerebral Source Localization

Daniela Calvetti, Harri Hakula, Sampsa Pursiainen et al. · SIAM Journal on Imaging Sciences · 2009 · 79 citations

Bayesian Statistic, Engineering, Machine Learning +21

DUNEuro—A software toolbox for forward modeling in bioelectromagnetism

Sophie Schrader, Andreas Westhoff, Maria Carla Piastra et al. · PLoS ONE · 2021 · 62 citations · Full text

A realistic, accurate and fast source modeling approach for the EEG forward problem

Tuuli Miinalainen, Atena Rezaei, Defne Us et al. · NeuroImage · 2018 · 46 citations

Fast Source, Neurophysiology, Computational Neuroscience +11

Forward simulation and inverse dipole localization with the lowest order Raviart—Thomas elements for electroencephalography

Sampsa Pursiainen, Alberto Sorrentino, Cristina Campi et al. · Inverse Problems · 2011 · 37 citations