Jakob Sauer Jørgensen

27 papers Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Modular Approach to Stochastic Optimisation for Inverse Problems Using the Core Imaging Library. CoRR Evangelos Papoutsellis, Margaret Duff, Jakob Sauer Jørgensen, Sam Porter, Claire Delplancke, Gemma Fardell, Edoardo Pasca, Kris Thielemans
2026	J	`jnl`	Efficient monotonic Gaussian processes via Randomize-then-Optimize. J. Comput. Phys. Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen
2026	J	`jnl`	Systematic Analysis of Penalty-Optimised Illumination Design for Tomographic Volumetric Additive Manufacturing via the Extendable Framework TVAM AID Using the Core Imaging Library. CoRR Nicole Pellizzon, Richard Huber, Jon Spangenberg, Jakob Sauer Jørgensen
2025	J	`jnl`	A Computational Framework and Implementation of Implicit Priors in Bayesian Inverse Problems. CoRR Jasper M. Everink, Chao Zhang, Amal Mohammed A. Alghamdi, Rémi Laumont, Nicolai André Brogaard Riis, Jakob Sauer Jørgensen
2025	—	`conf`	Adversarially Informed Neural Fields for Computed Tomography Reconstruction. SCIA (1) Rasmus Juul Pedersen, Luke Besley, Jakob Sauer Jørgensen, Jens Wenzel Andreasen, Anders Bjorholm Dahl, Vedrana Andersen Dahl
2025	J	`jnl`	Democratizing uncertainty quantification. J. Comput. Phys. 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
2025	J	`jnl`	Fast Gaussian Processes under Monotonicity Constraints. CoRR Chao Zhang, Jasper M. Everink, Jakob Sauer Jørgensen
2024	J	`jnl`	Democratizing Uncertainty Quantification. CoRR 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
2024	J	`jnl`	Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction. CoRR 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
2023	J	`jnl`	A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL). CoRR Jakob Sauer Jørgensen, Evangelos Papoutsellis, Laura Murgatroyd, Gemma Fardell, Edoardo Pasca
2023	J	`jnl`	CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python. CoRR Nicolai André Brogaard Riis, Amal Mohammed A. Alghamdi, Felipe Uribe, Silja L. Christensen, Babak Maboudi Afkham, Per Christian Hansen, Jakob Sauer Jørgensen
2023	J	`jnl`	CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python. CoRR Amal Mohammed A. Alghamdi, Nicolai André Brogaard Riis, Babak Maboudi Afkham, Felipe Uribe, Silja L. Christensen, Per Christian Hansen, Jakob Sauer Jørgensen
2023	—	`conf`	Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography. SSVM Francesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen
2022	J	`jnl`	A Bayesian Approach to CT Reconstruction with Uncertain Geometry. CoRR Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen
2022	J	`jnl`	Low-rank flat-field correction for artifact reduction in spectral computed tomography. CoRR Katrine O. Bangsgaard, Genoveva Burca, Evelina Ametova, Martin S. Andersen, Jakob Sauer Jørgensen
2022	J	`jnl`	Structural Gaussian Priors for Bayesian CT reconstruction of Subsea Pipes. CoRR Silja L. Christensen, Nicolai André Brogaard Riis, Felipe Uribe, Jakob Sauer Jørgensen
2021	J	`jnl`	Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. CoRR 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
2021	J	`jnl`	Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography. CoRR 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
2021	—	`conf`	Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography. ICCSA (Workshops) Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen
2021	J	`jnl`	Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography. CoRR Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen
2020	J	`jnl`	SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 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
2018	J	`jnl`	AIR Tools II: algebraic iterative reconstruction methods, improved implementation. Numer. Algorithms Per Christian Hansen, Jakob Sauer Jørgensen
2018	J	`jnl`	Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data. SIAM J. Imaging Sci. Leise Borg, Jürgen Frikel, Jakob Sauer Jørgensen, Eric Todd Quinto
2015	J	`jnl`	Comparison of Reconstruction Methods for Free-Space Propagation Phase-Contrast Tomography. CoRR Rasmus Dalgas Rasmussen, Jakob Sauer Jørgensen, Henning Friis Poulsen, Per Christian Hansen
2014	J	`jnl`	How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray CT. CoRR Jakob Sauer Jørgensen, Emil Y. Sidky
2014	J	`jnl`	Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT. CoRR Jakob Sauer Jørgensen, Christian Kruschel, Dirk A. Lorenz
2013	J	`jnl`	Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT. IEEE Trans. Medical Imaging Jakob Sauer Jørgensen, Emil Y. Sidky, Xiaochuan Pan