[Neuroimaging] DIPY 0.11.0 is now available for download

[Eleftherios Garyfallidis]

Hi Yarik,

This is the doclink for Neurodebian.

https://dl.dropboxusercontent.com/u/2481924/dipy-0.11.0-doc-examples.tar.gz
<https://www.google.com/url?q=https%3A%2F%2Fdl.dropboxusercontent.com%2Fu%2F2481924%2Fdipy-0.11.0-doc-examples.tar.gz&sa=D&sntz=1&usg=AFQjCNFNxajPtED20_jeptPZQErNr0mNSg>

Yarik, is it possible to update the overview of the project? We have moved
much beyond of what is written here

http://neuro.debian.net/pkgs/python-dipy.html

Which file do I need to edit? Or change to update the overview in
Neurodebian?

Cheers,
Eleftherios

On Sun, Feb 21, 2016 at 4:05 PM, Eleftherios Garyfallidis <
garyfallidis at gmail.com> wrote:

> Dear all,
>
>
> We are excited to announce a new public release of Diffusion Imaging in
> Python (DIPY).
>
> The 0.11 release follows closely on the heels of the 0.10 release,
> resolving issues that existed in that release on the Windows 64 bit
> platform. New features of the 0.11 and 0.10 release cycles include many
> additional fixes and new frameworks. Here are some of the highlights:
>
> DIPY 0.11.0 (Monday, 21 February 2016):
>
> - New framework for contextual enhancement of ODFs.
>
> - Compatibility with new version of numpy (1.11).
>
> - Compatibility with VTK 7.0 which supports Python 3.x.
>
> - Faster PIESNO for noise estimation.
>
> - Reorient gradient directions according to motion correction parameters.
>
> - Supporting Python 3.3+ but not 3.2.
>
> - Reduced memory usage in DTI prediction.
>
> - DSI now can use datasets with multiple b0s.
>
> - Fixed different issues with Windows 64bit and Python 3.5.
>
> DIPY 0.10.1 (Friday, 4 December 2015):
>
> - Compatibility with new versions of scipy (0.16) and numpy (1.10).
>
> - New cleaner visualization API, including compatibility with VTK 6, and
> functions to create your own interactive visualizations.
>
> - Diffusion Kurtosis Imaging (DKI): Google Summer of Code work by Rafael
> Henriques.
>
> - Mean Apparent Propagator (MAP) MRI for tissue microstructure estimation.
>
> - Anisotropic Power Maps from spherical harmonic coefficients.
>
> - A new framework for affine registration of images.
>
> Detailed release notes can be found here:
>
> http://dipy.org/release0.11.html
>
> http://dipy.org/release0.10.html
>
> To upgrade, run the following command in your terminal:
> <http://dipy.org/release0.10.html>
>
> pip install --upgrade dipy
>
> For the complete installation guide look here:
>
> http://dipy.org/installation.html
>
> For any questions go to http://dipy.org, or https://neurostars.org or
> send an e-mail to neuroimaging at python.org
>
> We also have a new instant messaging service and chat room available at
> https://gitter.im/nipy/dipy
>
> On behalf of the DIPY developers,
>
> Eleftherios Garyfallidis & Ariel Rokem
>
> http://dipy.org/developers.html
>
>
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