126 citations · 592 across the 53 of their papers we have counts for
4 papers · 1 filter
Fuel rod classification from Passive Gamma Emission Tomography (PGET) of spent nuclear fuel assemblies
Riina Virta, Rasmus Backholm, Tatiana A. Bubba +5
Safeguarding the disposal of spent nuclear fuel in a geological repository needs an effective, efficient, reliable and robust non-destructive assay (NDA) system to ensure the integ…
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas +3
We propose a novel convolutional neural network (CNN), called DONet, designed for learning pseudodifferential operators (DOs) in the context of linear inverse problems. Our s…
Classification of stroke using Neural Networks in Electrical Impedance Tomography
Juan Pablo Agnelli, Aynur Çöl, Matti Lassas +3
Electrical Impedance Tomography (EIT) is an emerging non-invasive medical imaging modality. It is based on feeding electrical currents into the patient, measuring the resulting vol…
Sparse dynamic tomography. A shearlet-based approach for iodine perfusion in plant stems
Tatiana A. Bubba, Tommi Heikkilä, Hanna Help +3
In this paper we propose a motion-aware variational approach to reconstruct moving objects from sparse dynamic data. The motivation of this work stems from X-ray imaging of plants…