Hello all!,
We are excited to announce a new release of Diffusion Imaging in Python
(DIPY).
If you use DIPY in your research, please cite us using the following
DOI: 10.3389/fninf.2014.00008
<https://www.ncbi.nlm.nih.gov/pubmed/24600385>
DIPY 0.16 (Monday, 10 March 2019)
This release received contributions from 14 developers (the full release
notes are at: http://dipy.org/release0.16.html
<http://nipy.org/dipy/release0.16.html>). Thank you for your contributions
and feedback!
…
[View More]Highlights of this release include:
-
Horizon, medical visualization interface powered by QuickBundlesX.
-
New Tractometry tools: Bundle Analysis / Bundle Profiles.
-
New reconstruction model: IVIM MIX (Variable Projection).
-
New command line interface: Affine and Diffeomorphic Registration.
-
New command line interface: Probabilistic, Deterministic and PFT
Tracking.
-
Integration of Cython Guidelines for developers.
-
Replacement of Nose by Pytest.
-
Documentation update.
-
Closed 103 issues and merged 41 pull requests.
Note:
-
DIPY 0.16.0 will be the last version to support Python 2. The next
release, DIPY 1.0.0, will support Python 3 only.
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(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
http://dipy.org/developers.html
[View Less]
Hello all!,
We are excited to announce a new release of Diffusion Imaging in Python
(DIPY).
If you use DIPY in your research, please cite us using the following
DOI: 10.3389/fninf.2014.00008
<https://www.ncbi.nlm.nih.gov/pubmed/24600385>
DIPY 0.16 (Monday, 10 March 2019)
This release received contributions from 14 developers (the full release
notes are at: http://dipy.org/release0.16.html
<http://nipy.org/dipy/release0.16.html>). Thank you for your contributions
and feedback!
…
[View More]Highlights of this release include:
-
Horizon, medical visualization interface powered by QuickBundlesX.
-
New Tractometry tools: Bundle Analysis / Bundle Profiles.
-
New reconstruction model: IVIM MIX (Variable Projection).
-
New command line interface: Affine and Diffeomorphic Registration.
-
New command line interface: Probabilistic, Deterministic and PFT
Tracking.
-
Integration of Cython Guidelines for developers.
-
Replacement of Nose by Pytest.
-
Documentation update.
-
Closed 103 issues and merged 41 pull requests.
Note:
-
DIPY 0.16.0 will be the last version to support Python 2. The next
release, DIPY 1.0.0, will support Python 3 only.
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(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
http://dipy.org/developers.html
[View Less]
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 …
[View More]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:
https://workshop.dipy.org
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(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
http://dipy.org/developers.html
[View Less]
Sending only to fury(a)python.org
On Wed, Dec 12, 2018 at 2:45 PM Eleftherios Garyfallidis <elef(a)indiana.edu>
wrote:
> Sending only to dipy(a)python.org
>
