dockerfile_tractolearn

Dockerfile for the tractolearn project.

• Main python project repository: https://github.com/scil-vital/tractolearn
• FIESTA NextFlow: https://github.com/scil-vital/fiesta
• Documentation: https://tractolearn.readthedocs.io/en/latest/

How to cite

If you use this toolkit in a scientific publication or if you want to cite our previous works, we would appreciate if you considered the following aspects:

• If you use tractolearn, please add a link to the appropriate code, data or related resource hosting service (e.g., repository, PyPI) from where you obtained tractolearn. You may want to include the specific version or commit hash information for the sake of reproducibility.
• Please, cite the appropriate scientific works:
  • If you use tractolearn to filter implausible streamlines or you want to cite our work in tractography filtering, cite FINTA and FIESTA.
  • If you want to cite our work in tractography bundling, cite CINTA and FIESTA.
    • If you use tractolearn to bundle streamlines using a k-nearest neighbor label approach, cite CINTA.
    • If you use tractolearn to bundle streamlines using a thresholding approach, cite FINTA and FIESTA.
  • If you use tractolearn for generative purposes or you want to cite our work in generative models for tractography, cite GESTA and FIESTA.
  • If you use parts of tractolearn for other purposes, please generally cite FINTA and FIESTA.

The corresponding BibTeX files are contained in the above links.

Please reach out to us if you have related questions.

Patent

J. H. Legarreta, M. Descoteaux, and P.-M. Jodoin. “PROCESSING OF TRACTOGRAPHY RESULTS USING AN AUTOENCODER”. Filed 03 2021. Imeka Solutions Inc. United States Patent #17/337,413. Pending.

License

This software is distributed under a particular license. Please see the LICENSE file for details.