We are excited to announce a new release of DIPY:

DIPY 1.1.1 is out! In addition:

a) A new 5 day workshop available during March 16-20 to learn the theory and applications of the hundreds of methods available in DIPY 1.1.1 Intense!

See the exquisite program here https://workshop.dipy.org.

*b) Given the need for a myriad of new DIPY derivative projects, DIPY moved to its own organization in GitHub. **Long live DIPY! * *And therefore, *https://github.com/dipy/dipy* supersedes https://github.com/nipy/dipy https://github.com/nipy/dipy The old link will be available as a redirect link for the next 6 months.*

c) Please support us by *citing** DIPY* in your papers using the following DOI: 10.3389/fninf.2014.00008 https://www.ncbi.nlm.nih.gov/pubmed/24600385otherwise the DIPY citation police will find you. ;)

DIPY 1.1.1 (Friday, 10 January 2020)

This release received contributions from 11 developers (the full release notes are at: https://dipy.org/documentation/1.1.1./release_notes/release1.1/). Thank you all for your contributions and feedback!

Please click here https://dipy.org/documentation/1.1.1./api_changes/ to check API changes.

Highlights of this release include:

-

New module for deep learning DIPY.NN (uses TensorFlow 2.0). -

Improved DKI performance and increased utilities. -

Non-linear and RESTORE fits from DTI compatible now with DKI. -

Numerical solutions for estimating axial, radial and mean kurtosis. -

Added Kurtosis Fractional Anisotropy by Glenn et al. 2015. -

Added Mean Kurtosis Tensor by Hansen et al. 2013. -

Nibabel minimum version is 3.0.0. -

Azure CI added and Appveyor CI removed. -

New command line interfaces for LPCA, MPPCA and Gibbs Unringing. -

New MTMS CSD tutorial added. -

Horizon refactored and updated to support StatefulTractograms. -

Speeded up all cython modules by using a smarter configuration setting. -

All tutorials updated to API changes and 2 new tutorials added. -

Large documentation update. -

Closed 126 issues and merged 50 pull requests.

Note:

-

Have in mind that DIPY stopped supporting Python 2 after version 0.16.0. All major Python projects have switched to Python 3. It is time that you switch too.

To upgrade or install http://dipy.org/release0.10.html DIPY

Run the following command in your terminal: http://dipy.org/release0.10.html

pip install --upgrade dipy

or

conda install -c conda-forge dipy

This version of DIPY depends on nibabel (3.0.0+).

For visualization you need FURY (0.4.0+).

Questions or suggestions?

For any questions go to http://dipy.org, or send an e-mail to dipy@python.org neuroimaging@python.org

We also have an instant messaging service and chat room available at https://gitter.im/nipy/dipy

On behalf of the DIPY developers,

Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro

https://dipy.org/contributors