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Evangelos Papoutsellis
Evangelos Papoutsellis
Senior Research Scientist, Finden Ltd, Oxford, UK
Verified email at finden.co.uk - Homepage
Title
Cited by
Cited by
Year
Total variation regularization in measurement and image space for PET reconstruction
M Burger, J Müller, E Papoutsellis, CB Schönlieb
Inverse Problems 30 (10), 105003, 2014
702014
Infimal Convolution Regularisation Functionals of BV and $$\varvec {\mathrm {L}}^{\varvec {p}} $$ Spaces
M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb
Journal of Mathematical Imaging and Vision 55 (3), 343-369, 2016
49*2016
Core Imaging Library--Part I: a versatile Python framework for tomographic imaging
JS Jørgensen, E Ametova, G Burca, G Fardell, E Papoutsellis, E Pasca, ...
https://royalsocietypublishing.org/doi/10.1098/rsta.2020.0192, 2021
442021
Core Imaging Library--Part II: Multichannel reconstruction for dynamic and spectral tomography
E Papoutsellis, E Ametova, C Delplancke, G Fardell, JS Jørgensen, ...
https://royalsocietypublishing.org/doi/10.1098/rsta.2020.0193, 2021
332021
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
R Warr, E Ametova, RJ Cernik, G Fardell, S Handschuh, JS Jørgensen, ...
https://www.nature.com/articles/s41598-021-00146-4, 2021
142021
Motion estimation and correction for simultaneous PET/MR using SIRF and CIL
R Brown, C Kolbitsch, C Delplancke, E Papoutsellis, J Mayer, ...
Philosophical Transactions of the Royal Society A 379 (2204), 20200208, 2021
112021
Infimal Convolution Regularisation Functionals of and Spaces. The Case
M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb
IFIP Conference on System Modeling and Optimization, 169-179, 2015
102015
Crystalline phase discriminating neutron tomography using advanced reconstruction methods
E Ametova, G Burca, S Chilingaryan, G Fardell, JS Jørgensen, ...
Journal of Physics D: Applied Physics 54 (32), 325502, 2021
92021
Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling
A Kofler, F Altekrüger, F Antarou Ba, C Kolbitsch, E Papoutsellis, D Schote, ...
SIAM Journal on Imaging Sciences 16 (4), 2202-2246, 2023
62023
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction. arXiv 2021
R Warr, E Ametova, RJ Cernik, G Fardell, S Handschuh, JS Jørgensen, ...
arXiv preprint arXiv:2103.04796, 0
6
Infimal convolution spatiotemporal PET reconstruction using total variation based priors
M Bergounioux, E Papoutsellis, S Stute, C Tauber
42018
An anisotropic inf-convolution bv type model for dynamic reconstruction
M Bergounioux, E Papoutsellis
SIAM Journal on Imaging Sciences 11 (1), 129-163, 2018
22018
First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images
E Papoutsellis
22016
Anatomically-guided deconvolution of PET using directional total variation regularization
AG Gillman, MH Quah, E Papoutsellis, K Thielemans, P Bourgeat, ...
medRxiv, 2023.04. 23.23289004, 2023
12023
A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL)
J Sauer Jørgensen, E Papoutsellis, L Murgatroyd, G Fardell, E Pasca
arXiv e-prints, arXiv: 2310.01671, 2023
2023
Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction
A Kofler, F Altekrüger, FA Ba, C Kolbitsch, E Papoutsellis, D Schote, ...
arXiv preprint arXiv:2310.16846, 2023
2023
A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL)
JS Jørgensen, E Papoutsellis, L Murgatroyd, G Fardell, E Pasca
Applied Mathematics for Modern Challenges 1 (2), 143-169, 2023
2023
Joint reconstruction with a correlative regularisation technique for multi-channel neutron tomography
E Ametova, G Burca, G Fardell, JS Jørgensen, E Papoutsellis, E Pasca, ...
16th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2021
2021
Status update on the Synergistic Image Reconstruction Framework: version 3.0
R Brown, C Kolbitsch, E Ovtchinnikov, J Mayer, AG Gillman, E Pasca, ...
Mathematical Imaging: A journey from Theory to Applications
L Calatroni, K Papafitsoros, E Papoutsellis
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Articles 1–20