Published March 30, 2023
| Version 0.16.0
Software
Open
NiGSP: A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data.
Authors/Creators
- 1. Medical Imaging Processing Lab, Center for Neuroprosthetics, รcole Polytechnique Fรฉdรฉrale de Lausanne
Description
:tada: This release contains work from a new contributor! :tada:
Thank you, null@NawalK, for all your work!
๐ Enhancement- Add map of filetypes to related loading functions for matricial data (
io.LOADMAT_DICT) #55 (@smoia) - Add outflow random walk normalisation (and specify former random walk as inflow random walk) #54 (@smoia)
- [pre-commit.ci] pre-commit autoupdate #53 (@pre-commit-ci[bot])
- [pre-commit.ci] pre-commit autoupdate #51 (@pre-commit-ci[bot])
- [pre-commit.ci] pre-commit autoupdate #50 (@pre-commit-ci[bot])
- [pre-commit.ci] pre-commit autoupdate #49 (@pre-commit-ci[bot])
- @NawalK
- @pre-commit-ci[bot]
- Stefano Moia (@smoia)
Files
MIPLabCH/nigsp-0.16.0.zip
Files
(2.7 MB)
| Name | Size | Download all |
|---|---|---|
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md5:32e587428c27b82909d8a08ad4e151de
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2.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/MIPLabCH/nigsp/tree/0.16.0 (URL)