Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm EY Sidky, JH Jørgensen, X Pan Physics in medicine and biology 57 (10), 3065, 2012 | 420 | 2012 |
AIR Tools II: algebraic iterative reconstruction methods, improved implementation PC Hansen, JS Jørgensen Numerical Algorithms 79 (1), 107-137, 2018 | 199 | 2018 |
Implementation of an optimal first-order method for strongly convex total variation regularization TL Jensen, JH Jørgensen, PC Hansen, SH Jensen BIT Numerical Mathematics 52 (2), 329-356, 2012 | 147 | 2012 |
Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT JS Jorgensen, EY Sidky, X Pan Medical Imaging, IEEE Transactions on 32 (2), 460-473, 2013 | 108 | 2013 |
Computed Tomography: Algorithms, Insight, and Just Enough Theory PC Hansen, J Jørgensen, WRB Lionheart Society for Industrial and Applied Mathematics, 2021 | 69 | 2021 |
Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography D Kazantsev, JS Jørgensen, MS Andersen, WRB Lionheart, PD Lee, ... Inverse Problems 34 (6), 064001, 2018 | 58 | 2018 |
Sirf: Synergistic image reconstruction framework E Ovtchinnikov, R Brown, C Kolbitsch, E Pasca, C da Costa-Luis, ... Computer Physics Communications 249, 107087, 2020 | 54 | 2020 |
Core imaging library-part I: a versatile Python framework for tomographic imaging JS Jørgensen, E Ametova, G Burca, G Fardell, E Papoutsellis, E Pasca, ... Philosophical Transactions of the Royal Society A 379 (2204), 20200192, 2021 | 49 | 2021 |
How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography JS Jørgensen, EY Sidky Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015 | 49 | 2015 |
How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray computed tomography JS Jørgensen, EY Sidky Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015 | 49 | 2015 |
Laminography in the lab: imaging planar objects using a conventional x-ray CT scanner SL Fisher, DJ Holmes, JS Jørgensen, P Gajjar, J Behnsen, ... Measurement Science and Technology 30 (3), 035401, 2019 | 46 | 2019 |
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data L Borg, J Frikel, JS Jørgensen, ET Quinto SIAM Journal on Imaging Sciences 11 (4), 2786-2814, 2018 | 46 | 2018 |
Full characterization of reconstruction artifacts from arbitrary incomplete X-ray CT data L Borg, J Frikel, JS Jørgensen, ET Quinto arXiv preprint arXiv:1707.03055, 2018 | 46* | 2018 |
Core Imaging Library-Part II: multichannel reconstruction for dynamic and spectral tomography E Papoutsellis, E Ametova, C Delplancke, G Fardell, JS Jørgensen, ... Philosophical Transactions of the Royal Society A 379 (2204), 20200193, 2021 | 38 | 2021 |
Few-view single photon emission computed tomography (SPECT) reconstruction based on a blurred piecewise constant object model PA Wolf, JS Jørgensen, TG Schmidt, EY Sidky Physics in Medicine & Biology 58 (16), 5629, 2013 | 32 | 2013 |
First-order convex feasibility algorithms for x-ray CT EY Sidky, JS Jørgensen, X Pan Medical physics 40 (3), 031115, 2013 | 31 | 2013 |
First-order convex feasibility algorithms for iterative image reconstruction in X-ray CT EY Sidky, JS Jørgensen, X Pan arXiv preprint arXiv:1209.1069, 2012 | 31* | 2012 |
First-order convex feasibility algorithms for iterative image reconstruction in limited angular-range X-ray CT EY Sidky, JH Jørgensen, X Pan arXiv preprint arXiv:1209.1069, 2012 | 31* | 2012 |
Analysis of discrete-to-discrete imaging models for iterative tomographic image reconstruction and compressive sensing JH Jørgensen, EY Sidky, X Pan IEEE Transactions on Medical Imaging, 2011 | 28 | 2011 |
Accelerated gradient methods for total-variation-based CT image reconstruction JH Jørgensen, TL Jensen, PC Hansen, SH Jensen, EY Sidky, X Pan arXiv preprint arXiv:1105.4002, 2011 | 27 | 2011 |