@techreport{65c4b6fe4b3942c9af5b887100a4f78a,
title = "Computational methods in electromagnetic biomedical inverse problems",
keywords = "Bayesian methodology, biomedical imaging, electrical impedance tomoraphy (EIT), electroencephalography/magnetoencephalography (EEG/MEG), electromagnetics, factorization method of Kirsch, forward modeling and simulation, h-FEM, inverse problems, limited-angle computerized tomography (limited-angle CT), Markov chain Monte Carlo (MCMC), p-FEM, regularization, Bayesian methodology, biomedical imaging, electrical impedance tomoraphy (EIT), electroencephalography/magnetoencephalography (EEG/MEG), electromagnetics, factorization method of Kirsch, forward modeling and simulation, h-FEM, inverse problems, limited-angle computerized tomography (limited-angle CT), Markov chain Monte Carlo (MCMC), p-FEM, regularization, Bayesian methodology, biomedical imaging, electrical impedance tomoraphy (EIT), electroencephalography/magnetoencephalography (EEG/MEG), electromagnetics, factorization method of Kirsch, forward modeling and simulation, h-FEM, inverse problems, limited-angle computerized tomography (limited-angle CT), Markov chain Monte Carlo (MCMC), p-FEM, regularization",
author = "Sampsa Pursiainen",
year = "2008",
language = "English",
isbn = "978-951-22-9680-4",
series = "Helsinki University of Technology, Institute of Mathematics, Research Reports",
number = "A560",
pages = "50",
type = "WorkingPaper",
}