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ORCIDJakob Sauer Jørgensen
Person information
- affiliation: Technical University of Denmark, Department of Applied Mathematics and Computer Science, Kongens Lyngby, Denmark
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Journal Articles
- 2020
[j4]Evgueni Ovtchinnikov
, Richard Brown, Christoph Kolbitsch, Edoardo Pasca, Casper O. da Costa-Luis, Ashley Gillman, Benjamin A. Thomas, Nikos Efthimiou, Johannes Mayer, Palak Wadhwa, Matthias J. Ehrhardt, Sam Ellis, Jakob Sauer Jørgensen, Julian C. Matthews, Claudia Prieto, Andrew J. Reader, Charalampos Tsoumpas, Martin J. Turner, Kris Thielemans:
SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 249: 107087 (2020)- 2018
- [j3]Per Christian Hansen, Jakob Sauer Jørgensen:
AIR Tools II: algebraic iterative reconstruction methods, improved implementation. Numer. Algorithms 79(1): 107-137 (2018) - [j2]Leise Borg, Jürgen Frikel, Jakob Sauer Jørgensen, Eric Todd Quinto:
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data. SIAM J. Imaging Sci. 11(4): 2786-2814 (2018) - 2013
- [j1]Jakob Sauer Jørgensen, Emil Y. Sidky, Xiaochuan Pan:
Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT. IEEE Trans. Medical Imaging 32(2): 460-473 (2013)
Conference and Workshop Papers
- 2023
- [c2]Francesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen:
Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography. SSVM 2023: 107-119 - 2021
- [c1]Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen:
Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography. ICCSA (Workshops) 2021: 60-70
Informal and Other Publications
- 2024
- [i16]Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - 2023
- [i15]Nicolai André Brogaard Riis, Amal Mohammed A. Alghamdi, Felipe Uribe, Silja L. Christensen, Babak Maboudi Afkham, Per Christian Hansen, Jakob Sauer Jørgensen:
CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python. CoRR abs/2305.16949 (2023) - [i14]Amal Mohammed A. Alghamdi, Nicolai André Brogaard Riis, Babak Maboudi Afkham, Felipe Uribe, Silja L. Christensen, Per Christian Hansen, Jakob Sauer Jørgensen:
CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python. CoRR abs/2305.16951 (2023) - [i13]Jakob Sauer Jørgensen, Evangelos Papoutsellis, Laura Murgatroyd, Gemma Fardell, Edoardo Pasca:
A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL). CoRR abs/2310.01671 (2023) - 2022
- [i12]Silja L. Christensen, Nicolai André Brogaard Riis, Felipe Uribe, Jakob Sauer Jørgensen:
Structural Gaussian Priors for Bayesian CT reconstruction of Subsea Pipes. CoRR abs/2203.01030 (2022) - [i11]Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen:
A Bayesian Approach to CT Reconstruction with Uncertain Geometry. CoRR abs/2203.01045 (2022) - [i10]Katrine O. Bangsgaard, Genoveva Burca, Evelina Ametova, Martin S. Andersen, Jakob Sauer Jørgensen:
Low-rank flat-field correction for artifact reduction in spectral computed tomography. CoRR abs/2203.01637 (2022) - 2021
- [i9]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:
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. CoRR abs/2102.04560 (2021) - [i8]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:
Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography. CoRR abs/2102.06126 (2021) - [i7]Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen:
Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography. CoRR abs/2106.10053 (2021) - 2015
- [i6]Rasmus Dalgas Rasmussen, Jakob Sauer Jørgensen, Henning Friis Poulsen, Per Christian Hansen:
Comparison of Reconstruction Methods for Free-Space Propagation Phase-Contrast Tomography. CoRR abs/1505.02740 (2015) - 2014
- [i5]Jakob Sauer Jørgensen, Christian Kruschel, Dirk A. Lorenz:
Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT. CoRR abs/1409.0214 (2014) - [i4]Jakob Sauer Jørgensen, Emil Y. Sidky:
How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray CT. CoRR abs/1412.6833 (2014) - 2011
- [i3]Tobias Lindstrøm Jensen, Jakob Heide Jørgensen, Per Christian Hansen, Søren Holdt Jensen:
Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization. CoRR abs/1105.3723 (2011) - [i2]Jakob Heide Jørgensen, Tobias Lindstrøm Jensen, Per Christian Hansen, Søren Holdt Jensen, Emil Y. Sidky, Xiaochuan Pan:
Accelerated gradient methods for total-variation-based CT image reconstruction. CoRR abs/1105.4002 (2011) - [i1]Jakob Heide Jørgensen, Emil Y. Sidky, Xiaochuan Pan:
Ensuring convergence in total-variation-based reconstruction for accurate microcalcification imaging in breast X-ray CT. CoRR abs/1111.2616 (2011)
Coauthor Index
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