Core Imaging Library - Part I: a versatile Python framework for tomographic imaging - Jørgensen, J. S.; Ametova, E.; Burca, G.; Fardell, G.; Papoutsellis, E.; Pasca, E.; Thielemans, K.; Turner, M.; Warr, R.; Lionheart, W. R. B.; Withers, P. J. (Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2021)
Keywords: Algorithms; Data Interpretation, Statistical; Databases, Factual - statistics & numerical data; Humans; Image Interpretation, Computer-Assisted - statistics & numerical data; Imaging, Three-Dimensional - statistics & numerical data; Neutrons; Positron-Emission Tomography - statistics & numerical data; Radiographic Image Interpretation, Computer-Assisted - statistics & numerical data; Software; Synchrotrons; Tomography - statistics & numerical data; Tomography, X-Ray Computed - statistics & numerical data; computed tomography; convex optimization; X-ray CT; image reconstruction; software