Evangelos Papoutsellis

According to our database, Evangelos Papoutsellis authored at least 9 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Why do we regularise in every iteration for imaging inverse problems?

Evangelos Papoutsellis, Zeljko Kereta, Kostas Papafitsoros

CoRR, 2024

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, Kris Thielemans

CoRR, 2024

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., December, 2023

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

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

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

2016

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

Evangelos Papoutsellis

PhD thesis, 2016

Infimal Convolution Regularisation Functionals of BV and L^p Spaces - Part I: The Finite p Case.

Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb

J. Math. Imaging Vis., 2016

2015

Infimal Convolution Regularisation Functionals of BV and L^p Spaces. The Case p=∞.

Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis, Carola-Bibiane Schönlieb

Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015