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| author | dkazanc <dkazanc@hotmail.com> | 2019-04-26 10:59:19 +0100 |
|---|---|---|
| committer | dkazanc <dkazanc@hotmail.com> | 2019-04-26 10:59:19 +0100 |
| commit | 76241b2a0eb03d5326a70a914cb649239c066e01 (patch) | |
| tree | 48ac2be778d08bb89e6998a64eca121ef83be676 /demos | |
| parent | f9cdb2fb7c483e82c34f1ed0c773a2bbc4532c06 (diff) | |
| download | regularization-76241b2a0eb03d5326a70a914cb649239c066e01.tar.gz regularization-76241b2a0eb03d5326a70a914cb649239c066e01.tar.bz2 regularization-76241b2a0eb03d5326a70a914cb649239c066e01.tar.xz regularization-76241b2a0eb03d5326a70a914cb649239c066e01.zip | |
Software X readme updated
Diffstat (limited to 'demos')
| -rw-r--r-- | demos/SoftwareX_supp/Readme.md | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/demos/SoftwareX_supp/Readme.md b/demos/SoftwareX_supp/Readme.md index a6463a0..23b76ee 100644 --- a/demos/SoftwareX_supp/Readme.md +++ b/demos/SoftwareX_supp/Readme.md @@ -1,8 +1,7 @@ +# Software X journal publication supporting files -# SoftwareX publication [1] supporting files - -## Decription: -The scripts here support publication in SoftwareX journal [1] to ensure reproducibility of the research. The scripts linked with data shared at Zenodo. +## Description: +The scripts support [publication](https://github.com/vais-ral/CCPi-Regularisation-Toolkit/blob/master/demos/SoftwareX_supp/paper/1-s2.0-S2352711018301912-main.pdf) in Software X journal [1] to ensure reproducibility of the research. The scripts linked with the data which is shared at [Zenodo](https://doi.org/10.5281/zenodo.2578893). ## Data: Data is shared at Zenodo [here](https://doi.org/10.5281/zenodo.2578893) @@ -19,7 +18,7 @@ Data is shared at Zenodo [here](https://doi.org/10.5281/zenodo.2578893) - `Demo_RealData_Recon_SX.py` - runs real data reconstructions. Can be quite intense on memory so reduce the size of the reconstructed volume if needed. ### References: -[1] "CCPi-Regularisation Toolkit for computed tomographic image reconstruction with proximal splitting algorithms" by Daniil Kazantsev, Edoardo Pasca, Martin J. Turner and Philip J. Withers; SoftwareX, 2019. +[1] [Kazantsev, D., Pasca, E., Turner, M.J. and Withers, P.J., 2019. CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms. SoftwareX, 9, pp.317-323.](https://www.sciencedirect.com/science/article/pii/S2352711018301912) ### Acknowledgments: CCPi-RGL software is a product of the [CCPi](https://www.ccpi.ac.uk/) group, STFC SCD software developers and Diamond Light Source (DLS). Any relevant questions/comments can be e-mailed to Daniil Kazantsev at dkazanc@hotmail.com |