Code snippets and tools for working with QuickNII output, mostly put around propagation (algorithm is described on NITRC).
- Python module for propagation (also CLI app), example .flat decoder (and conversion to .png)
- JavaScript module for propagation, live
HTMLexample and CLI app - Java propagation with complete CLI app for slicing and building NIfTI volumes, example cutlas creator code
QuickNII is developed by the Neural Systems Laboratory at the Institute of Basic Medical Sciences, University of Oslo, Norway. QuickNII was developed with support from the EBRAINS infrastructure, and funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Framework Partnership Agreement No. 650003 (HBP FPA).
https://quicknii.readthedocs.io
Gergely Csucs
Maja A Puchades, Jan G Bjaalie.
- Main component: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
- Source code: MIT licence
Report issues here on github or email: [email protected]