Search Results - "Bubba, Tatiana A"

In-air and in-water performance comparison of Passive Gamma Emission Tomography with activated Co-60 rods by Virta, Riina, Bubba, Tatiana A., Moring, Mikael, Siltanen, Samuli, Honkamaa, Tapani, Dendooven, Peter

“…A first-of-a-kind geological repository for spent nuclear fuel is being built in Finland and will soon start operations. To make sure all nuclear material…”
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Improved Passive Gamma Emission Tomography image quality in the central region of spent nuclear fuel by Virta, Riina, Bubba, Tatiana A., Moring, Mikael, Siltanen, Samuli, Honkamaa, Tapani, Dendooven, Peter

“…Reliable non-destructive methods for verifying spent nuclear fuel are essential to draw credible nuclear safeguards conclusions from spent fuel. In Finland,…”
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Author Correction: Improved Passive Gamma Emission Tomography image quality in the central region of spent nuclear fuel by Virta, Riina, Bubba, Tatiana A., Moring, Mikael, Siltanen, Samuli, Honkamaa, Tapani, Dendooven, Peter

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Trust your source: quantifying source condition elements for variational regularisation methods by Benning, Martin, Bubba, Tatiana A, Ratti, Luca, Riccio, Danilo

“…Source conditions are a key tool in regularisation theory that are needed to derive error estimates and convergence rates for ill-posed inverse problems. In…”
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Learning a microlocal prior for limited-angle tomography by Rautio, Siiri, Murthy, Rashmi, Bubba, Tatiana A, Lassas, Matti, Siltanen, Samuli

“…Limited-angle tomography is a highly ill-posed linear inverse problem. It arises in many applications, such as digital breast tomosynthesis. Reconstructions…”
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Reconstructing Activity and Attenuation of a Spent Fuel Assembly from Passive Gamma Emission Tomography (PGET) Measurements by Virta, Riina, Backholm, Rasmus, Bubba, Tatiana A., Dendooven, Peter, Helin, Tapio, Honkamaa, Tapani, Moring, Mikael, Siltanen, Samuli

“…Verification of spent nuclear fuel is a prerequisite for disposal in a geological repository. The verification method needs to be reliable and quick and allow…”
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A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography by Bubba, Tatiana A., Porta, Federica, Zanghirati, Gaetano, Bonettini, Silvia

“…Due to its potential to lower exposure to X-ray radiation and reduce the scanning time, region-of-interest (ROI) computed tomography (CT) is particularly…”
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Efficient representation of spatio-temporal data using cylindrical shearlets by Bubba, Tatiana A., Easley, Glenn, Heikkilä, Tommi, Labate, Demetrio, Ayllon, Jose P. Rodriguez

“…Efficient representations of multivariate functions are critical for the design of state-of-the-art methods of data restoration and image reconstruction. In…”
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Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography by Bubba, Tatiana A, Ratti, Luca

“…Statistical inverse learning theory, a field that lies at the intersection of inverse problems and statistical learning, has lately gained more and more…”
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Regularization with optimal space-time priors by Bubba, Tatiana A, Heikkilä, Tommi, Labate, Demetrio, Ratti, Luca

“…We propose a variational regularization approach based on cylindrical shearlets to deal with dynamic imaging problems, with dynamic tomography as guiding…”
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4D Dual-Tree Complex Wavelets for Time-Dependent Data by Bubba, Tatiana A., Heikkila, Tommi, Siltanen, Samuli

“…The dual-tree complex wavelet transform (DT-ℂWT) is extended to the 4D setting. Key properties of 4D DT-ℂWT, such as directional sensitivity and…”
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Trust your source: quantifying source condition elements for variational regularisation methods by Benning, Martin, Bubba, Tatiana A, Ratti, Luca, Riccio, Danilo

“…Source conditions are a key tool in regularisation theory that are needed to derive error estimates and convergence rates for ill-posed inverse problems. In…”
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4D Dual-Tree Complex Wavelets for Time-Dependent Data by Bubba, Tatiana A, Heikkilä, Tommi, Siltanen, Samuli

“…21st International Conference on Computational Science and Its Applications (ICCSA), 2021, pp. 146-156 The dual-tree complex wavelet transform…”
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Convex regularization in statistical inverse learning problems by Bubba, Tatiana A, Burger, Martin, Helin, Tapio, Ratti, Luca

“…We consider a statistical inverse learning problem, where the task is to estimate a function $f$ based on noisy point evaluations of $Af$, where $A$ is a…”
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Efficient representation of spatio-temporal data using cylindrical shearlets by Bubba, Tatiana A, Easley, Glenn, Heikkilä, Tommi, Labate, Demetrio, Ayllon, Jose P. Rodriguez

“…Journal of Computational and Applied Mathematics 429 (2023) 115206 Efficient representations of multivariate functions are critical for the design of…”
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Bilevel learning of regularization models and their discretization for image deblurring and super-resolution by Bubba, Tatiana A, Calatroni, Luca, Catozzi, Ambra, Crisci, Serena, Pock, Thomas, Pragliola, Monica, Rautio, Siiri, Riccio, Danilo, Sebastiani, Andrea

“…Bilevel learning is a powerful optimization technique that has extensively been employed in recent years to bridge the world of model-driven variational…”
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Learning a microlocal prior for limited-angle tomography by Rautio, Siiri, Murthy, Rashmi, Bubba, Tatiana A, Lassas, Matti, Siltanen, Samuli

“…Limited-angle tomography is a highly ill-posed linear inverse problem. It arises in many applications, such as digital breast tomosynthesis. Reconstructions…”
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Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography by Bubba, Tatiana A, Galinier, Mathilde, Lassas, Matti, Prato, Marco, Ratti, Luca, Siltanen, Samuli

“…We propose a novel convolutional neural network (CNN), called $\Psi$DONet, designed for learning pseudodifferential operators ($\Psi$DOs) in the context of…”
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Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems by Bubba, Tatiana A, Heikkilä, Tommi, Help, Hanna, Huotari, Simo, Salmon, Yann, Siltanen, Samuli

“…Inverse Problems, 36, [094002] (2020) In this paper we propose a motion-aware variational approach to reconstruct moving objects from sparse dynamic data. The…”
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Fuel rod classification from Passive Gamma Emission Tomography (PGET) of spent nuclear fuel assemblies by Virta, Riina, Backholm, Rasmus, Bubba, Tatiana A, Helin, Tapio, Moring, Mikael, Siltanen, Samuli, Dendooven, Peter, Honkamaa, Tapani

“…Safeguarding the disposal of spent nuclear fuel in a geological repository needs an effective, efficient, reliable and robust non-destructive assay (NDA)…”
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