# Credits

**Resomapper** is a tool developed by the ***Preclinical neuroImaging Lab (PILab)*** at the [Instituto de Investigaciones Biomédicas Sols-Morreale](https://www.iib.uam.es/web/iibm). Here we want to acknowledge the packages used for the development of this program.

* DTI processing and other additional tools: [**DIPY**](https://dipy.org/). 
> Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I.  & Dipy Contributors (2014). [DIPY, a library for the analysis of diffusion MRI data.](http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00008/abstract) Frontiers in Neuroinformatics, vol.8, no.8.


* Relaxometry map processing: [**myrelax**](https://github.com/fragrussu/MyRelax).
> Grussu, F., Battiston, M., Veraart, J., Schneider, T., Cohen-Adad, J., Shepherd, T. M., Alexander, D. C., Fieremans, E., Novikov, D. S., & Gandini Wheeler-Kingshott, C. A. M. (2020). [Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising.](http://doi.org/10.1016/j.neuroimage.2020.116884) Neuroimage, 217, 116884.

* Adquisition files conversion: [**bruker2nifti**](https://github.com/SebastianoF/bruker2nifti)
> Ferraris, S., Shakir, I. D., Van Der Merwe, J., Gsell, W., Deprest, J., & Vercauteren, T. (2017). Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format. Journal Of Open Source Software, 2(16), 354.

* NiFTI file handling: [**nibabel**](https://nipy.org/nibabel/)

* Other packages used: **numpy**, **pandas**, **matplotlib**, **seaborn**, **scipy**, **scikit-learn**, **pillow**, **opencv**.

* The package structure of resomapper was created with [**cookiecutter**](https://cookiecutter.readthedocs.io/en/latest/) and the [py-pkgs-cookiecutter template](https://github.com/py-pkgs/py-pkgs-cookiecutter).