62 citations · 113 across the 7 of their papers we have counts for
7 papers
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker +3
Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints force a strong reduct…
Low-rank flat-field correction for artifact reduction in spectral computed tomography
Katrine O Bangsgaard, Genoveva Burca, Evelina Ametova +2
Spectral computed tomography has received considerable interest in recent years since spectral measurements contain much richer information about the object of interest. In spectra…
Recovering the second moment of the strain distribution from neutron Bragg edge data
Kyle Fogarty, Evelina Ametova, Genoveva Burca +4
Point by point strain scanning is often used to map the residual stress (strain) in engineering materials and components. However, the gauge volume and hence spatial resolution is…
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Ryan Warr, Evelina Ametova, Robert J. Cernik +6
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (800 eV), applying it for the first time to map the distrib…
Crystalline phase discriminating neutron tomography using advanced reconstruction methods
Evelina Ametova, Genoveva Burca, Suren Chilingaryan +8
Time-of-flight neutron imaging offers complementary attenuation contrast to X-ray computed tomography (CT), coupled with the ability to extract additional information from the vari…
Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography
Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke +7
The newly developed Core Imaging Library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building…
Core Imaging Library -- Part I: a versatile Python framework for tomographic imaging
Jakob S. Jørgensen, Evelina Ametova, Genoveva Burca +8
We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional…