@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",

}