Mailman 3 November 2020 - DIPY

DIPY: BUndle ANalytics (BUAN) Paper Talk
by Bramsh Qamar Nov. 24, 2020

Nov. 24, 2020

Hello DIPY Community, I am presenting Bundle Analytics (BUAN) <https://www.nature.com/articles/s41598-020-74054-4> paper recently published in Nature Scientific Reports on *18th-Nov-2020* at *12:00 pm* EST. There will also be a demo of the BUAN framework in DIPY. You are invited to attend the DIPY meeting (https://github.com/dipy/dipy/issues/2229) for the talk. BUAN is an end-to-end computational framework that can precisely extract white matter fiber bundles, perform statistical analyses across groups, and compare the shapes of different bundles. BUAN can be used to study and find the effects of any neurological or psychological conditions on brain connectivity. [image: Screen Shot 2020-10-13 at 5.57.54 PM.png] [image: buan_shapes.png] Read the paper here: https://www.nature.com/articles/s41598-020-74054-4 Best, Bramsh Qamar Chandio, Ph.D. Candidate Intelligent Systems Engineering Indiana University Bloomington

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Information about Human Dataset for advanced computational modelling purposes
by Antonino M. Cassara Nov. 24, 2020

Nov. 24, 2020

Dear Dipy team. First of all congratulations for the great work you are doing. I'd like to know if you are aware of a freely available human dataset that could include as much as the following data: - structural data (T1, T2, etc), - whole head segmentation - DTI data (raw) - DTI tensor data already extracted (orientation distribution function) - streamlines I'd like to develop a computational human head model with as much information as possible, to be used also for the development of medical devices and for treatment planning purposes, or at least for some advanced testing. Thanks a lot for your time. All the best, Antonino M. Cassara' -- Dr. Antonino Mario Cassarà Project Leader Neurostimulation, IT’IS Foundation (Member of Zurich43) P +41 44 245 9683| M +41 76 819 2260 Zeughausstrasse 43, 8004 Zurich, Switzerland

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ANN: DIPY 1.3.0
by Eleftherios Garyfallidis Nov. 10, 2020

Nov. 10, 2020

Hello all, We are excited to announce a new release of DIPY: DIPY 1.3 is out! 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> DIPY 1.3.0 (Wednesday, 3 November 2020) This release received contributions from 27 developers (the full release notes are at: https://dipy.org/documentation/1.3.0./release_notes/release1.3/). Thank you all for your contributions and feedback! Please click here <https://dipy.org/documentation/1.3.0./api_changes/> to check API changes. Highlights of this release include: - Gibbs ringing correction 10X faster. - Spherical harmonics basis definitions updated. - Added SMT2 metrics from mean signal diffusion kurtosis. - New interface functions added to the registration module. - New linear transform added to the registration module. - New tutorials for DIPY command line interfaces. - Fixed compatibility issues with different dependencies. - Tqdm (multiplatform progress bar) dependency added. - Large documentation update. - Bundle section highlight from BUAN added in Horizon. - Closed 134 issues and merged 49 pull requests. Note: Have in mind that DIPY does not support 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 (0.6.1+). Questions or suggestions? For any questions go to https://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/dipy/dipy On behalf of the DIPY developers, Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro https://dipy.org/contributors

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past workshop videos
by Reza Darooei Nov. 8, 2020

Nov. 8, 2020

Hi I'm a student and it is not possible for me to contribute to your workshops I know the 2020 workshop has been canceled. but is there any chance I could use last year's workshops and tutorials? best regards Reza

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