Scientific Computational Imaging Code (SCICO)

Python Submitted 19 August 2022Published 28 October 2022
Review

Editor: @danielskatz (all papers)
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Authors

Thilo Balke (0000-0002-1716-5923), Fernando Davis, Cristina Garcia-Cardona (0000-0002-5641-3491), Soumendu Majee (0000-0002-8442-2897), Michael McCann (0000-0001-7645-252X), Luke Pfister (0000-0001-7485-5966), Brendt Wohlberg (0000-0002-4767-1843)

Citation

Balke et al., (2022). Scientific Computational Imaging Code (SCICO). Journal of Open Source Software, 7(78), 4722, https://doi.org/10.21105/joss.04722

@article{Balke2022, doi = {10.21105/joss.04722}, url = {https://doi.org/10.21105/joss.04722}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {78}, pages = {4722}, author = {Thilo Balke and Fernando Davis and Cristina Garcia-Cardona and Soumendu Majee and Michael McCann and Luke Pfister and Brendt Wohlberg}, title = {Scientific Computational Imaging Code (SCICO)}, journal = {Journal of Open Source Software} }
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computational imaging scientific imaging inverse problems

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ISSN 2475-9066