E-LIB Suche - Ergebnisse für: Jørgensen, Jakob S.

1

CUQIpy: I. Computational uncertainty quantification for inv..:

Riis, Nicolai A B ; Alghamdi, Amal M A ; Uribe, Felipe...
Inverse Problems. 40 (2024) 4 - p. 045009 , 2024

Link: https://doi.org/10.1088/..

2

CUQIpy: II. Computational uncertainty quantification for PD..:

Alghamdi, Amal M A ; Riis, Nicolai A B ; Afkham, Babak M...
Inverse Problems. 40 (2024) 4 - p. 045010 , 2024

Link: https://doi.org/10.1088/..

3

A Bayesian approach for CT reconstruction with defect detec..:

Christensen, Silja L ; Riis, Nicolai A B ; Pereyra, Marcelo.
Inverse Problems. 40 (2023) 2 - p. 025003 , 2023

Link: https://doi.org/10.1088/..

4

Structural Gaussian priors for Bayesian CT reconstruction o..:

Christensen, Silja L. ; Riis, Nicolai A. B. ; Uribe, Felipe.
Applied Mathematics in Science and Engineering. 31 (2023) 1 - p. , 2023

Link: https://doi.org/10.1080/..

5

Crystalline phase discriminating neutron tomography using a..:

Ametova, Evelina ; Burca, Genoveva ; Chilingaryan, Suren...
Journal of Physics D: Applied Physics. 54 (2021) 32 - p. 325502 , 2021

Link: https://doi.org/10.1088/..

6

Enhanced hyperspectral tomography for bioimaging by spatios..:

Warr, Ryan ; Ametova, Evelina ; Cernik, Robert J....
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

7

SIRF: Synergistic Image Reconstruction Framework:

Ovtchinnikov, Evgueni ; Brown, Richard ; Kolbitsch, Christoph...
Computer Physics Communications. 249 (2020) - p. 107087 , 2020

Link: https://doi.org/10.1016/..

8

New software protocols for enabling laboratory based tempor..:

Gajjar, Parmesh ; Jørgensen, Jakob S. ; Godinho, Jose R. A....
Review of Scientific Instruments. 89 (2018) 9 - p. , 2018

Link: https://doi.org/10.1063/..

9

Joint image reconstruction method with correlative multi-ch..:

Kazantsev, Daniil ; Jørgensen, Jakob S ; Andersen, Martin S...
Inverse Problems. 34 (2018) 6 - p. 064001 , 2018

Link: https://doi.org/10.1088/..

10

SparseBeads data: benchmarking sparsity-regularized compute..:

Jørgensen, Jakob S ; Coban, Sophia B ; Lionheart, William R B..
Measurement Science and Technology. 28 (2017) 12 - p. 124005 , 2017

Link: https://doi.org/10.1088/..

11

Reduction of variable-truncation artifacts from beam occlus..:

Borg, Leise ; Jørgensen, Jakob S ; Frikel, Jürgen.
Measurement Science and Technology. 28 (2017) 12 - p. 124004 , 2017

Link: https://doi.org/10.1088/..

12

Quantifying Admissible Undersampling for Sparsity-Exploitin..:

Jorgensen, Jakob S. ; Sidky, Emil Y. ; Pan, Xiaochuan
IEEE Transactions on Medical Imaging. 32 (2013) 2 - p. 460-473 , 2013

Link: https://doi.org/10.1109/..

13

First‐order convex feasibility algorithms for x‐ray CT:

Sidky, Emil Y. ; Jørgensen, Jakob S. ; Pan, Xiaochuan
Medical Physics. 40 (2013) 3 - p. , 2013

Link: https://doi.org/10.1118/..

14

Few-view single photon emission computed tomography (SPECT)..:

Wolf, Paul A ; Jørgensen, Jakob S ; Schmidt, Taly G.
Physics in Medicine and Biology. 58 (2013) 16 - p. 5629-5652 , 2013

Link: https://doi.org/10.1088/..

15

Low-rank flat-field correction for artifact reduction in sp..:

Bangsgaard, Katrine O ; Burca, Genoveva ; Ametova, Evelina..
info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2203.01637. , 2024

Link: https://publikationen.bi..