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: 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@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 http://dipy.org/developers.html
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: 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@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 http://dipy.org/developers.html
participants (1)
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Eleftherios Garyfallidis