/BPARC

A supervised image segmentation framework for fMRI data (Brain Parcellation)

Primary LanguagePythonMIT LicenseMIT

BPARC

A supervised image segmentation framework implemented in python to perform brain parcellation on fMRI data (Functional magnetic resonance imaging) utilizing different methods, models, and analysis tools.

References

[1] Kazemivash, B., & Calhoun, V. D. (2020, October). BPARC: A novel spatio-temporal (4D) data-driven brain parcellation scheme based on deep residual networks. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 1071-1076). IEEE.

[2] Kazemivash, B., & Calhoun, V. D. (2022). A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learning. Journal of neuroscience methods, 109478.