Jakob Sauer Jørgensen

According to our database, Jakob Sauer Jørgensen authored at least 30 papers between 2011 and 2026.

Collaborative distances:

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

2026

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting.

Pawel Tomasz Pieta, Rasmus Juul Pedersen, Sina Borgi, Jakob Sauer Jørgensen, Jens Wenzel Andreasen, Vedrana Andersen Dahl

CoRR, April, 2026

A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library.

Evangelos Papoutsellis, Margaret Duff, Jakob Sauer Jørgensen, Sam Porter, Claire Delplancke, Gemma Fardell, Edoardo Pasca, Kris Thielemans

CoRR, March, 2026

Systematic Analysis of Penalty-Optimised Illumination Design for Tomographic Volumetric Additive Manufacturing via the Extendable Framework TVAM AID Using the Core Imaging Library.

Nicole Pellizzon, Richard Huber, Jon Spangenberg, Jakob Sauer Jørgensen

CoRR, February, 2026

Efficient monotonic Gaussian processes via Randomize-then-Optimize.

Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen

J. Comput. Phys., 2026

2025

A Computational Framework and Implementation of Implicit Priors in Bayesian Inverse Problems.

Jasper M. Everink, Chao Zhang, Amal Mohammed A. Alghamdi, Rémi Laumont, Nicolai André Brogaard Riis, Jakob Sauer Jørgensen

CoRR, September, 2025

Fast Gaussian Processes under Monotonicity Constraints.

Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen

CoRR, July, 2025

Democratizing uncertainty quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, 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

J. Comput. Phys., 2025

Adversarially Informed Neural Fields for Computed Tomography Reconstruction.

Rasmus Juul Pedersen, Luke Besley, Jakob Sauer Jørgensen, Jens Wenzel Andreasen, Anders Bjorholm Dahl, Vedrana Andersen Dahl

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

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 Sauer Jørgensen, Zeljko Kereta, Evgueni Ovtchinnikov, Edoardo Pasca, Georg Schramm, Kris Thielemans

CoRR, 2024

Democratizing Uncertainty Quantification.

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

CoRR, 2024

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

CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python.

Amal Mohammed A. Alghamdi, Nicolai André Brogaard Riis, Babak Maboudi Afkham, Felipe Uribe, Silja L. Christensen, Per Christian Hansen, Jakob Sauer Jørgensen

CoRR, 2023

CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python.

Nicolai André Brogaard Riis, Amal Mohammed A. Alghamdi, Felipe Uribe, Silja L. Christensen, Babak Maboudi Afkham, Per Christian Hansen, Jakob Sauer Jørgensen

CoRR, 2023

Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography.

Francesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

Low-rank flat-field correction for artifact reduction in spectral computed tomography.

Katrine O. Bangsgaard, Genoveva Burca, Evelina Ametova, Martin S. Andersen, Jakob Sauer Jørgensen

CoRR, 2022

A Bayesian Approach to CT Reconstruction with Uncertain Geometry.

Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen

CoRR, 2022

Structural Gaussian Priors for Bayesian CT reconstruction of Subsea Pipes.

Silja L. Christensen, Nicolai André Brogaard Riis, Felipe Uribe, Jakob Sauer Jørgensen

CoRR, 2022

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

Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography.

Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

SIRF: Synergistic Image Reconstruction Framework.

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

Comput. Phys. Commun., 2020

2018

Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data.

Leise Borg, Jürgen Frikel, Jakob Sauer Jørgensen, Eric Todd Quinto

SIAM J. Imaging Sci., 2018

AIR Tools II: algebraic iterative reconstruction methods, improved implementation.

Per Christian Hansen, Jakob Sauer Jørgensen

Numer. Algorithms, 2018

2015

Comparison of Reconstruction Methods for Free-Space Propagation Phase-Contrast Tomography.

Rasmus Dalgas Rasmussen, Jakob Sauer Jørgensen, Henning Friis Poulsen, Per Christian Hansen

CoRR, 2015

2014

How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray CT.

Jakob Sauer Jørgensen, Emil Y. Sidky

CoRR, 2014

Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT.

Jakob Sauer Jørgensen, Christian Kruschel, Dirk A. Lorenz

CoRR, 2014

2013

Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT.

Jakob Sauer Jørgensen, Emil Y. Sidky, Xiaochuan Pan

IEEE Trans. Medical Imaging, 2013

2011

Ensuring convergence in total-variation-based reconstruction for accurate microcalcification imaging in breast X-ray CT

Jakob Heide Jørgensen, Emil Y. Sidky, Xiaochuan Pan

CoRR, 2011

Accelerated gradient methods for total-variation-based CT image reconstruction

Jakob Heide Jørgensen, Tobias Lindstrøm Jensen, Per Christian Hansen, Søren Holdt Jensen, Emil Y. Sidky, Xiaochuan Pan

CoRR, 2011

Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization

Tobias Lindstrøm Jensen, Jakob Heide Jørgensen, Per Christian Hansen, Søren Holdt Jensen

CoRR, 2011