62 citations · 86 across the 6 of their papers we have counts for
6 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…
Spectroscopic Neutron Imaging for Resolving Hydrogen Dynamics Changes in Battery Electrolytes
E. R. Carreón Ruiz, J. Lee, J. I. Márquez Damián +12
We present spectroscopic neutron imaging (SNI), a bridge between imaging and scattering techniques, for the analysis of hydrogenated molecules in lithium-ion cells. The scattering…
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…
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 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…