FiberNeat: Unsupervised White Matter Tract Filtering

This repository has FiberNeat code and tutorial on example data.

Dependencies:

Python 3

DIPY (https://dipy.org/)

sklearn (https://scikit-learn.org/)

umap-learn (https://umap-learn.readthedocs.io/en/latest/)

pandas (https://pandas.pydata.org/)

matplotlib (https://matplotlib.org/)

seaborn (https://seaborn.pydata.org/)

Reference:

Chandio, B.Q., Chattopadhyay, T., Owens-Walton, C., Reina, J.E.V., Nabulsi, L., Thomopoulos, S.I., Garyfallidis, E. and Thompson, P.M. (2022, July). Fiberneat: Unsupervised white matter tract filtering. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5055-5061). IEEE.

https://www.biorxiv.org/content/10.1101/2021.10.26.465991v3.full.pdf