Tatiana A. Bubba
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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
Tomographic X-ray data of a lotus root filled with attenuating objects
TA Bubba, A Hauptmann, S Huotari, J Rimpeläinen, S Siltanen
arXiv preprint arXiv:1609.07299, 2016
Simultaneous reconstruction of emission and attenuation in passive gamma emission tomography of spent nuclear fuel
R Backholm, TA Bubba, C Bélanger-Champagne, T Helin, P Dendooven, ...
arXiv preprint arXiv:1905.03849, 2019
Tomographic X-ray data of carved cheese
TA Bubba, M Juvonen, J Lehtonen, M März, A Meaney, Z Purisha, ...
arXiv preprint arXiv:1705.05732, 2017
Deep neural networks for inverse problems with pseudodifferential operators: An application to limited-angle tomography
TA Bubba, M Galinier, M Lassas, M Prato, L Ratti, S Siltanen
Society for Industrial and Applied Mathematics 14 (2), 470-505, 2021
Controlled wavelet domain sparsity for x-ray tomography
Z Purisha, J Rimpeläinen, T Bubba, S Siltanen
Measurement Science and Technology 29 (1), 014002, 2017
Fuel rod classification from Passive Gamma Emission Tomography (PGET) of spent nuclear fuel assemblies
R Virta, R Backholm, TA Bubba, T Helin, M Moring, S Siltanen, ...
arXiv preprint arXiv:2009.11617, 2020
Shearlet-based regularization in sparse dynamic tomography
TA Bubba, M März, Z Purisha, M Lassas, S Siltanen
Wavelets and Sparsity XVII 10394, 236-245, 2017
A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography
TA Bubba, F Porta, G Zanghirati, S Bonettini
Applied Mathematics and Computation 318, 131-152, 2018
Sparse dynamic tomography: a shearlet-based approach for iodine perfusion in plant stems
TA Bubba, T Heikkilä, H Help, S Huotari, Y Salmon, S Siltanen
Inverse Problems 36 (9), 094002, 2020
Shearlet-based regularized reconstruction in region-of-interest computed tomography
T Bubba, D Labate, G Zanghirati, S Bonettini
Mathematical modelling of natural phenomena 13 (4), 2018
Shearlet-based regularized ROI reconstruction in fan beam computed tomography
TA Bubba, D Labate, G Zanghirati, S Bonettini, B Goossens
Wavelets and Sparsity XVI 9597, 148-158, 2015
Improved Passive Gamma Emission Tomography image quality in the central region of spent nuclear fuel
R Virta, TA Bubba, M Moring, S Siltanen, T Honkamaa, P Dendooven
Scientific Reports 12 (1), 12473, 2022
The ROI CT problem: a shearlet-based regularization approach
TA Bubba, F Porta, G Zanghirati, S Bonettini
Journal of Physics: Conference Series 756 (1), 012009, 2016
Convex regularization in statistical inverse learning problems
TA Bubba, M Burger, T Helin, L Ratti
arXiv preprint arXiv:2102.09526v2, 2021
Gamma Ray Emission Imaging in the Medical and Nuclear Safeguards Fields
P Dendooven, TA Bubba
The Euroschool on Exotic Beams, Vol. VI, 245-295, 2022
Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography
TA Bubba, L Ratti
Inverse Problems 38 (5), 054001, 2022
Reconstructing Activity and Attenuation of a Spent Fuel Assembly from Passive Gamma Emission Tomography (PGET) Measurements
R Virta, R Backholm, TA Bubba, P Dendooven, T Helin, T Honkamaa, ...
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020
4D dual-tree complex wavelets for time-dependent data
TA Bubba, T Heikkilä, S Siltanen
2021 21st International Conference on Computational Science and Its …, 2021
Verifying spent nuclear fuel with Passive Gamma Emission Tomography prior to disposal in a geological repository in Finland
R Virta, R Backholm, TA Bubba, T Helin, T Kähkönen, J Leppänen, ...
INMM & ESARDA Joint Virtual Annual Meeting, 2021
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