J
Jari P. Kaipio
Researcher at University of Auckland
Publications - 272
Citations - 11543
Jari P. Kaipio is an academic researcher from University of Auckland. The author has contributed to research in topics: Inverse problem & Electrical impedance tomography. The author has an hindex of 49, co-authored 270 publications receiving 10666 citations. Previous affiliations of Jari P. Kaipio include GE Healthcare & University of Eastern Finland.
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Statistical and computational inverse problems
Jari P. Kaipio,Erkki Somersalo +1 more
TL;DR: Inverse Problems and Interpretation of Measurements: Inverse problems and interpretation of measurements as mentioned in this paper, classical regularization methods, Statistical Inversion Theory, Nonstationary Inverse Problems, Classical Methods Revisited, Model Problems.
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Tikhonov regularization and prior information in electrical impedance tomography
TL;DR: The authors propose an approach to the construction of the regularization matrix that conforms to the prior assumptions on the impedance distribution based on theConstruction of an approximating subspace for the expected impedance distributions.
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Statistical inverse problems: discretization, model reduction and inverse crimes
Jari P. Kaipio,Erkki Somersalo +1 more
TL;DR: In this paper, the discretization of linear inverse problems is discussed, and the Bayesian paradigm is used to estimate the statistics of the Discretization error that is made part of the measurement and modelling errors of the estimation problem.
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Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography
TL;DR: In this paper, the authors consider the electrical impedance tomography (EIT) problem in the framework of Bayesian statistics, where the inverse problem is recast into a form of statistical inference.
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Three-dimensional electrical impedance tomography based on the complete electrode model
TL;DR: This paper proposes a finite element-based method for the reconstruction of three-dimensional resistivity distributions based on the so-called complete electrode model that takes into account the presence of the electrodes and the contact impedances and results from static and dynamic reconstructions with real measurement data are given.