Janne Huttunen
Janne Huttunen
Nokia Bell Labs, Espoo
Verified email at nokia.com
Cited by
Cited by
Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography
L Roininen, JMJ Huttunen, S Lasanen
Inverse Problems & Imaging 8 (2), 561, 2014
Approximation errors in nonstationary inverse problems
JMJ Huttunen, JP Kaipio
Inverse Problems & Imaging 1 (1), 77, 2007
Approximation error analysis in nonlinear state estimation with an application to state-space identification
JMJ Huttunen, JP Kaipio
Inverse Problems 23 (5), 2141, 2007
Dynamic inversion for hydrological process monitoring with electrical resistance tomography under model uncertainties
A Lehikoinen, JMJ Huttunen, S Finsterle, MB Kowalsky, JP Kaipio
Water resources research 46 (4), 2010
Determination of heterogeneous thermal parameters using ultrasound induced heating and MR thermal mapping
JMJ Huttunen, T Huttunen, M Malinen, JP Kaipio
Physics in Medicine & Biology 51 (4), 1011, 2006
Experimental evaluation of 3D electrical impedance tomography with total variation prior
G González, JMJ Huttunen, V Kolehmainen, A Seppänen, M Vauhkonen
Inverse Problems in Science and Engineering 24 (8), 1411-1431, 2016
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
T Lähivaara, L Kärkkäinen, JMJ Huttunen, JS Hesthaven
The Journal of the Acoustical Society of America 143 (2), 1148-1158, 2018
MRI contrasts in high rank rotating frames
T Liimatainen, H Hakkarainen, S Mangia, JMJ Huttunen, C Storino, ...
Magnetic resonance in medicine 73 (1), 254-262, 2015
Model reduction in state identification problems with an application to determination of thermal parameters
JMJ Huttunen, JP Kaipio
Applied Numerical Mathematics 59 (5), 877-890, 2009
Importance sampling approach for the nonstationary approximation error method
JMJ Huttunen, A Lehikoinen, J Hämäläinen, JP Kaipio
Inverse Problems 26 (12), 125003, 2010
Cauchy difference priors for edge-preserving Bayesian inversion
M Markkanen, L Roininen, JMJ Huttunen, S Lasanen
Journal of Inverse and Ill-posed Problems 27 (2), 225-240, 2019
Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data
JMJ Huttunen, L Kärkkäinen, H Lindholm
PLoS computational biology 15 (8), e1007259, 2019
Artificial boundary conditions and domain truncation in electrical impedance tomography. part i: Theory and preliminary results
D Calvetti, PJ Hadwin, JMJ Huttunen, D Isaacson, JP Kaipio, D McGivney, ...
Inverse Problems & Imaging 9 (3), 749, 2015
3D thermal tomography with experimental measurement data
JM Toivanen, T Tarvainen, JMJ Huttunen, T Savolainen, HRB Orlande, ...
International Journal of Heat and Mass Transfer 78, 1126-1134, 2014
DeepRx: Fully convolutional deep learning receiver
M Honkala, D Korpi, JMJ Huttunen
IEEE Transactions on Wireless Communications 20 (6), 3925-3940, 2021
Discretization error in dynamical inverse problems: one-dimensional model case
JMJ Huttunen, HK Pikkarainen
Walter de Gruyter 15 (4), 365-386, 2007
Estimation of groundwater storage from seismic data using deep learning
T Lähivaara, A Malehmir, A Pasanen, L Kärkkäinen, JMJ Huttunen, ...
Geophysical Prospecting, 2019
Artificial boundary conditions and domain truncation in electrical impedance tomography. part ii: Stochastic extension of the boundary map
D Calvetti, PJ Hadwin, JMJ Huttunen, JP Kaipio, E Somersalo
Inverse Problems & Imaging 9 (3), 767, 2015
Estimation of fixed charge density and diffusivity profiles in cartilage using contrast enhanced computer tomography
JMJ Huttunen, HT Kokkonen, JS Jurvelin, J Töyräs, JP Kaipio
International Journal for Numerical Methods in Engineering 98 (5), 371-390, 2014
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation
JMJ Huttunen, JP Kaipio, H Haario
Computational Statistics & Data Analysis 123, 13-31, 2018
The system can't perform the operation now. Try again later.
Articles 1–20