Tatiana A. Bubba
Title
Cited by
Cited by
Year
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
762019
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
172016
Controlled wavelet domain sparsity for x-ray tomography
Z Purisha, J Rimpeläinen, T Bubba, S Siltanen
Measurement Science and Technology 29 (1), 014002, 2017
132017
Shearlet-based regularization in sparse dynamic tomography
TA Bubba, M März, Z Purisha, M Lassas, S Siltanen
Wavelets and Sparsity XVII 10394, 103940Y, 2017
112017
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
112017
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
92019
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
92018
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, 95970K, 2015
82015
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
52021
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
52020
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
52016
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
22020
4D Dual-Tree Complex Wavelets for Time-Dependent Data
TA Bubba, T Heikkilä, S Siltanen
arXiv preprint arXiv:2103.15674, 2021
12021
Convex regularization in statistical inverse learning problems
TA Bubba, M Burger, T Helin, L Ratti
arXiv preprint arXiv:2102.09526v2, 2021
12021
Shearlet-based regularized reconstruction in region-of-interest computed tomography
TA Bubba, D Labate, G Zanghirati, S Bonettini
Mathematical modelling of natural phenomena 13 (4), 34, 2018
12018
Region-of-interest CT problem: effective forward operator and iterative shearlet-based regularization
TA Bubba
Università degli studi di Ferrara, 2016
12016
Numerical assessment of shearlet-based regularization in ROI tomography
TA Bubba, D Labate, G Zanghirati, S Bonettini
arXiv preprint arXiv:1511.04336, 2015
12015
Efficient representation of spatio-temporal data using cylindrical shearlets
TA Bubba, G Easley, T Heikkilä, D Labate, JPR Ayllon
arXiv preprint arXiv:2110.03221, 2021
2021
Learning the Invisible: Limited Angle Tomography, Shearlets and Deep Learning
TA Bubba, G Kutyniok, M Lassas, M März, W Samek, S Siltanen, ...
Numerical Computations: Theory and Algorithms NUMTA 2019, 103, 2019
2019
Numerical assessment of the ROI CT problem in fan-beam geometries
TA Bubba, D Labate, G Zanghirati
AIP 2015-Applied Inverse Problems 2015, 202-202, 2015
2015
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Articles 1–20