Samuli Siltanen

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Matti LassasProfessor of applied mathematics, University of Helsinki, FinlandVerificeret mail på helsinki.fi
Jennifer L. MuellerProfessor of Mathematics and Biomedical Engineering, Colorado State UniversityVerificeret mail på math.colostate.edu
David IsaacsonProfessor of Mathematical Sciencs , Rensselaer Polytechnic InstituteVerificeret mail på rpi.edu
Tatiana A. BubbaUniversity of BathVerificeret mail på bath.ac.uk
Jari KaipioUniversity of AucklandVerificeret mail på math.auckland.ac.nz
Kim KnudsenProfessor, Technical University of DenmarkVerificeret mail på dtu.dk
Aku SeppänenUniversity of Eastern FinlandVerificeret mail på uef.fi
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluVerificeret mail på oulu.fi
Erkki SomersaloProfessor of Mathematics, Case Western Reserve UniversityVerificeret mail på case.edu
Masaru IkehataProfessor at Hiroshima University, Emeritus Professor at Gunma UniversityVerificeret mail på hiroshima-u.ac.jp
Tapio HelinLUT UniversityVerificeret mail på lut.fi
Dong LiuUniversity of Science and Technology of ChinaVerificeret mail på ustc.edu.cn
Maximilian MärzTechnische Universität BerlinVerificeret mail på math.tu-berlin.de
Jouni TakaloResearcherVerificeret mail på oulu.fi
Petri KoistinenUniversity lecturer, University of HelsinkiVerificeret mail på helsinki.fi
Jonathan NewellProfessor of Biomedical Engineering, Rensselaer Polytechnic InstituteVerificeret mail på rpi.edu
Sarah Jane HamiltonProfessor of Mathematics, Marquette UniversityVerificeret mail på marquette.edu
Hanne KekkonenAssistant professor, TU Delft, NetherlandsVerificeret mail på tudelft.nl
Matteo SantacesariaAssistant Professor, MaLGa Center, Department of Mathematics, University of GenoaVerificeret mail på unige.it
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichVerificeret mail på math.lmu.de

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Samuli Siltanen

Professor of Industrial Mathematics, University of Helsinki, Finland

Verificeret mail på helsinki.fi - Startside

Inverse Problems


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Linear and nonlinear inverse problems with practical applications J Mueller, S Siltanen SIAM, 2012	566	2012
An implementation of the reconstruction algorithm of A Nachman for the 2D inverse conductivity problem S Siltanen, J Mueller, D Isaacson Inverse Problems 16 (3), 681, 2000	291	2000
Reconstructions of chest phantoms by the D-bar method for electrical impedance tomography D Isaacson, JL Mueller, JC Newell, S Siltanen IEEE Transactions on medical imaging 23 (7), 821-828, 2004	207	2004
Statistical inversion for medical x-ray tomography with few radiographs: I. General theory S Siltanen, V Kolehmainen, S Järvenpää, JP Kaipio, P Koistinen, ... Physics in Medicine & Biology 48 (10), 1437, 2003	207	2003
Discretization-invariant Bayesian inversion and Besov space priors M Lassas, E Saksman, S Siltanen arXiv preprint arXiv:0901.4220, 2009	182	2009
Regularized D-bar method for the inverse conductivity problem K Knudsen, M Lassas, JL Mueller, S Siltanen Inverse Problems and Imaging 35 (4), 599, 2009	181	2009
Wavelet-based reconstruction for limited-angle X-ray tomography M Rantala, S Vanska, S Jarvenpaa, M Kalke, M Lassas, J Moberg, ... IEEE transactions on medical imaging 25 (2), 210-217, 2006	176	2006
Can one use total variation prior for edge-preserving Bayesian inversion? M Lassas, S Siltanen Inverse Problems 20 (5), 1537, 2004	150	2004
Direct reconstructions of conductivities from boundary measurements JL Mueller, S Siltanen SIAM Journal on Scientific Computing 24 (4), 1232-1266, 2003	150	2003
Statistical inversion for medical x-ray tomography with few radiographs: II. Application to dental radiology V Kolehmainen, S Siltanen, S Järvenpää, JP Kaipio, P Koistinen, ... Physics in Medicine & Biology 48 (10), 1465, 2003	138	2003
A direct reconstruction algorithm for electrical impedance tomography JL Mueller, S Siltanen, D Isaacson IEEE Transactions on medical imaging 21 (6), 555-559, 2002	135	2002
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography TA Bubba, G Kutyniok, M Lassas, M März, W Samek, S Siltanen, ... Inverse Problems 35 (6), 064002, 2019	127	2019
Imaging cardiac activity by the D-bar method for electrical impedance tomography D Isaacson, JL Mueller, JC Newell, S Siltanen Physiological Measurement 27 (5), S43, 2006	126	2006
Numerical method for finding the convex hull of an inclusion in conductivity from boundary measurements M Ikehata, S Siltanen Inverse Problems 16 (4), 1043, 2000	105	2000
Numerical solution method for the dbar-equation in the plane K Knudsen, J Mueller, S Siltanen Journal of Computational Physics 198 (2), 500-517, 2004	104	2004
D-bar method for electrical impedance tomography with discontinuous conductivities K Knudsen, M Lassas, JL Mueller, S Siltanen SIAM Journal on Applied Mathematics 67 (3), 893-913, 2007	102	2007
Sparse tomography K Hamalainen, A Kallonen, V Kolehmainen, M Lassas, K Niinimaki, ... SIAM Journal on Scientific Computing 35 (3), B644-B665, 2013	75	2013
Probing for electrical inclusions with complex spherical waves T Ide, H Isozaki, S Nakata, S Siltanen, G Uhlmann Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2007	74	2007
Sparsity-promoting Bayesian inversion V Kolehmainen, M Lassas, K Niinimäki, S Siltanen Inverse Problems 28 (2), 025005, 2012	63	2012
A nonlinear approach to difference imaging in EIT; assessment of the robustness in the presence of modelling errors D Liu, V Kolehmainen, S Siltanen, A Seppänen Inverse Problems 31 (3), 035012, 2015	60	2015

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