We are excited to announce a new release of Diffusion Imaging in Python (DIPY).
DIPY 0.15 (Wednesday, 12 December 2018)
This release received contributions from 30 developers (the full release notes are at: http://dipy.org/release0.15.html http://nipy.org/dipy/release0.12.html)
Highlights of this release include:
-
Updated RecoBundles for automatic anatomical bundle segmentation. -
New Reconstruction Model: qtau-dMRI signal representation. -
New command line interfaces (e.g., dipy_slr). -
New continuous integration with AppVeyor CI. -
Nibabel Streamlines API now used almost everywhere for better memory management. -
Compatibility with Python 3.7. -
Many tutorials added or updated (5 New). -
Large overall documentation update. -
Moved visualization module to a new library: FURY. -
Closed 287 issues and merged 93 pull requests.
Want to learn more?
The DIPY project is hosting an educational workshop March 11-15 at Indiana University, USA. The event is sponsored by the National Institute of Health (NIH). See topics and detailed information here:
The workshop will include tutorials on tracking, microstructure, and statistical analysis. The workshop will also include a data accelerator where you will be able to analyze your own data together with the DIPY http://dipy.org/ developers. More than 15 DIPY developers will be available this year on site to help. All tutorials will run on 3 levels: novice, intermediate and advanced. Register here https://workshop.dipy.org .
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 (2.3.0+).
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
Hello all!
We are excited to announce a new release of Diffusion Imaging in Python (DIPY).
DIPY 0.15 (Wednesday, 12 December 2018)
This release received contributions from 30 developers (the full release notes are at: http://dipy.org/release0.15.html http://nipy.org/dipy/release0.12.html)
Highlights of this release include:
-
Updated RecoBundles for automatic anatomical bundle segmentation. -
New Reconstruction Model: qtau-dMRI signal representation. -
New command line interfaces (e.g., dipy_slr). -
New continuous integration with AppVeyor CI. -
Nibabel Streamlines API now used almost everywhere for better memory management. -
Compatibility with Python 3.7. -
Many tutorials added or updated (5 New). -
Large overall documentation update. -
Moved visualization module to a new library: FURY. -
Closed 287 issues and merged 93 pull requests.
Want to learn more?
The DIPY project is hosting an educational workshop March 11-15 at Indiana University, USA. The event is sponsored by the National Institute of Health (NIH). See topics and detailed information here:
The workshop will include tutorials on tracking, microstructure, and statistical analysis. The workshop will also include a data accelerator where you will be able to analyze your own data together with the DIPY http://dipy.org/ developers. More than 15 DIPY developers will be available this year on site to help. All tutorials will run on 3 levels: novice, intermediate and advanced. Register here https://workshop.dipy.org .
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 (2.3.0+).
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