The Quantitative Neuroimaging Environment & ToolboX (QuNex) integrates a number of scripts and functions written in several programming languages that support a flexible and extensible framework for data organization, preprocessing, quality assurance, and various analytics across neuroimaging modalities. The QuNex suite is designed to be flexible and can be developed by adding functions developed around its component tools.
By using the QuNex container you agree with all QuNex licenses and licenses of all tools included in the container. See QuNex access for details. For commercial use of the QuNex container, please contact grega.repovs@ff.uni-lj.si or zaiyln.tamayo@yale.edu.
The QuNex code is co-developed and co-maintained by the:
Past contributors to the QuNex code:
- Anticevic Lab, Yale University,
- Murray Lab, Dartmouth College.
- QuNex: 1.2.1 [QIO]
- qx_library: 1.1.1 [QIO]
Jie Lisa Ji, Jure Demšar, Clara Fonteneau, Zailyn Tamayo, Lining Pan, Aleksij Kraljič, Andraž Matkovič, Nina Purg, Markus Helmer, Shaun Warrington, Anderson Winkler, Valerio Zerbi, Timothy S. Coalson, Matthew F. Glasser, Michael P. Harms, Stamatios N. Sotiropoulos, John D. Murray, Alan Anticevic, Grega Repovš; QuNex—An integrative platform for reproducible neuroimaging analytics. Frontiers in neuroinformatics 17 (2023). https://www.frontiersin.org/articles/10.3389/fninf.2023.1104508.
QuNex container includes the following GPL licensed products: