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Jakob Sauer Jørgensen
Jakob Sauer Jørgensen
Senior Researcher, Technical University of Denmark (DTU), Denmark
Verified email at dtu.dk
Title
Cited by
Cited by
Year
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
4082012
AIR Tools II: algebraic iterative reconstruction methods, improved implementation
PC Hansen, JS Jørgensen
Numerical Algorithms 79 (1), 107-137, 2018
1842018
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
1492012
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
1102013
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
582018
Computed Tomography: Algorithms, Insight, and Just Enough Theory
PC Hansen, J Jørgensen, WRB Lionheart
Society for Industrial and Applied Mathematics, 2021
532021
Sirf: Synergistic image reconstruction framework
E Ovtchinnikov, R Brown, C Kolbitsch, E Pasca, C da Costa-Luis, ...
Computer Physics Communications 249, 107087, 2020
532020
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
492015
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
492015
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
432018
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
43*2018
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
412021
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
412019
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
312021
First-order convex feasibility algorithms for x-ray CT
EY Sidky, JS Jørgensen, X Pan
Medical physics 40 (3), 031115, 2013
312013
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
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
302013
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
282011
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
272011
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Articles 1–20