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/24600385>otherwise
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(a)python.org <neuroimaging(a)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
