Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞. - Martin Burger 001; Konstantinos Papafitsoros; Evangelos Papoutsellis; Carola-Bibiane Schönlieb (System Modelling and Optimization, 2015)

Infimal Convolution Regularisation Functionals of BV and Lp Spaces - Part I: The Finite p Case. - Martin Burger 001; Konstantinos Papafitsoros; Evangelos Papoutsellis; Carola-Bibiane Schönlieb (J. Math. Imaging Vis., 2016)

First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images. - Evangelos Papoutsellis (2016)

Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. - Jakob Sauer Jørgensen; Evelina Ametova; Genoveva Burca; Gemma Fardell; Evangelos Papoutsellis; Edoardo Pasca; Kris Thielemans; Martin J. Turner; Ryan Warr; William R. B. Lionheart; Philip J. Withers (CoRR, 2021)

Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography. - Evangelos Papoutsellis; Evelina Ametova; Claire Delplancke; Gemma Fardell; Jakob Sauer Jørgensen; Edoardo Pasca; Martin J. Turner; Ryan Warr; William R. B. Lionheart; Philip J. Withers (CoRR, 2021)

A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL). - Jakob Sauer Jørgensen; Evangelos Papoutsellis; Laura Murgatroyd; Gemma Fardell; Edoardo Pasca (CoRR, 2023)

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. - Andreas Kofler; Fabian Altekrüger; Fatima Antarou Ba; Christoph Kolbitsch; Evangelos Papoutsellis; David Schote; Clemens Sirotenko; Felix Frederik Zimmermann; Kostas Papafitsoros (SIAM J. Imaging Sci., 2023)

Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction. - Evangelos Papoutsellis; Casper O. da Costa-Luis; Daniel Deidda; Claire Delplancke; Margaret Duff; Gemma Fardell; Ashley Gillman; Jakob S. Jørgensen; Zeljko Kereta; Evgueni Ovtchinnikov; Edoardo Pasca; Georg Schramm; et al. (CoRR, 2024)

Why do we Regularise in Every Iteration for Imaging Inverse Problems? - Evangelos Papoutsellis; Zeljko Kereta; Kostas Papafitsoros (SSVM (1), 2025)