activity
20152026
most citedCore Imaging Library -- Part I: a versatile Python framework for tomographic imaging

62 citations · 127 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

physics.med-ph2021

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…

cond-mat.mtrl-sci2021★ 3 cited

Damage accumulation during high temperature fatigue of Ti/SiC metal matrix composites under different stress amplitudes

Ying Wang, Xu Xu, Wenxia Zhao +10

The damage mechanisms and load redistribution of high strength TC17 titanium alloy/unidirectional SiC fibre composite (fibre diameter = 100 m) under high temperature (350 °C) fa…

physics.med-ph2021★ 12 cited

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…

physics.med-ph2021★ 38 cited

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…

math.OC2021★ 62 cited

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…