From malin.sandstrom at incf.org Fri Nov 6 14:33:03 2020 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Fri, 6 Nov 2020 20:33:03 +0100 Subject: [Neuroimaging] Last call for community input on NIDM, the neuroimaging data model for task based fMRI Message-ID: Dear all, This weekend is the last opportunity to give input and feedback on the INCF-developed neuroimaging data model, NIDM. This format is accepted into SPM and FSL, and you can share and visualise your NIDM-Results packs on DataLad. If you use any of those tools, your opinion is of interest to us! Don't be shy to let us know what you think. Community is what makes standards better for all. Add your thoughts: NIDMreview DOI: 10.7490/f1000research.1117859.1 Find out more about NIDM-Results: NIDM-Rinfo Check out this short video on NIDM-Results: NIDMclip Learn more about why your voice matters: bit.ly/SBPcommunity Happy weekend! Malin -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From zhengang at sas.upenn.edu Fri Nov 6 17:26:28 2020 From: zhengang at sas.upenn.edu (Zhengang Lu) Date: Fri, 6 Nov 2020 17:26:28 -0500 Subject: [Neuroimaging] =?utf-8?q?=5BPySurfer=5D_How_can_I_plot_the_bound?= =?utf-8?q?ary_of_a_ROI_defined_by_a_functional_face_localizer?= =?utf-8?b?77yf?= Message-ID: Hi PySurfer gurus, I just want to show the Fusiform Face Area mask on the surface. But I didn't find it easy to implement. Did I miss something? Which function should I use? Thanks!! Zhengang -------------- next part -------------- An HTML attachment was scrubbed... URL: From larson.eric.d at gmail.com Mon Nov 9 07:57:17 2020 From: larson.eric.d at gmail.com (Eric Larson) Date: Mon, 9 Nov 2020 07:57:17 -0500 Subject: [Neuroimaging] =?utf-8?q?=5BPySurfer=5D_How_can_I_plot_the_bound?= =?utf-8?q?ary_of_a_ROI_defined_by_a_functional_face_localizer?= =?utf-8?b?77yf?= In-Reply-To: References: Message-ID: Brain.add_label with borders=True should do it: https://pysurfer.github.io/generated/surfer.Brain.html#surfer.Brain.add_label Eric On Sat, Nov 7, 2020 at 4:47 AM Zhengang Lu wrote: > Hi PySurfer gurus, > > I just want to show the Fusiform Face Area mask on the surface. But I > didn't find it easy to implement. Did I miss something? Which function > should I use? > > Thanks!! > > Zhengang > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From garyfallidis at gmail.com Tue Nov 10 10:14:21 2020 From: garyfallidis at gmail.com (Eleftherios Garyfallidis) Date: Tue, 10 Nov 2020 10:14:21 -0500 Subject: [Neuroimaging] ANN: DIPY 1.3.0 Message-ID: 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 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 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 DIPY Run the following command in your terminal: 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 at 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From satra at mit.edu Tue Nov 10 10:59:01 2020 From: satra at mit.edu (Satrajit Ghosh) Date: Tue, 10 Nov 2020 10:59:01 -0500 Subject: [Neuroimaging] ANN: DIPY 1.3.0 In-Reply-To: References: Message-ID: nice work dipy team!! cheers, satra On Tue, Nov 10, 2020 at 10:15 AM Eleftherios Garyfallidis < garyfallidis at gmail.com> wrote: > 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 > > 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 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 DIPY > > Run the following command in your terminal: > > > 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 at 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 > > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From markiewicz at stanford.edu Tue Nov 10 11:00:47 2020 From: markiewicz at stanford.edu (Christopher Markiewicz) Date: Tue, 10 Nov 2020 16:00:47 +0000 Subject: [Neuroimaging] ANN: DIPY 1.3.0 In-Reply-To: References: Message-ID: Congrats, team DIPY! ________________________________ From: Neuroimaging on behalf of Eleftherios Garyfallidis Sent: Tuesday, November 10, 2020 10:14 AM To: Neuroimaging analysis in Python Subject: [Neuroimaging] ANN: DIPY 1.3.0 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 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 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 DIPY Run the following command in your terminal: 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 at 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From elef at indiana.edu Tue Nov 10 11:44:40 2020 From: elef at indiana.edu (Eleftherios Garyfallidis) Date: Tue, 10 Nov 2020 11:44:40 -0500 Subject: [Neuroimaging] ANN: DIPY 1.3.0 In-Reply-To: References: Message-ID: Thank you Chris and Satra! On Tue, Nov 10, 2020 at 11:15 AM Christopher Markiewicz < markiewicz at stanford.edu> wrote: > Congrats, team DIPY! > ------------------------------ > *From:* Neuroimaging stanford.edu at python.org> on behalf of Eleftherios Garyfallidis < > garyfallidis at gmail.com> > *Sent:* Tuesday, November 10, 2020 10:14 AM > *To:* Neuroimaging analysis in Python > *Subject:* [Neuroimaging] ANN: DIPY 1.3.0 > > > 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 > > 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 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 DIPY > > Run the following command in your terminal: > > > 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 at 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 > > _______________________________________________ > Neuroimaging mailing list > Neuroimaging at python.org > https://mail.python.org/mailman/listinfo/neuroimaging > -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.pannetier at gmail.com Tue Nov 10 17:39:42 2020 From: nicolas.pannetier at gmail.com (Nicolas Pannetier) Date: Tue, 10 Nov 2020 14:39:42 -0800 Subject: [Neuroimaging] Open position(s) at Flywheel - Scientific Solution Engineer Message-ID: Dear colleagues, At Flywheel , we are developing a data sharing and distributed computing platform serving biomedical imaging and life sciences research. We are hiring to grow our Scientific Solutions Engineering team of PhDs and Engineers. Specifically, we are looking for people with software engineering (e.g. python, matlab), data analytics (e.g. machine learning, ETL, reproducible scientific workflows, nipype, BIDS) and a research background in the medical imaging landscape. Compensation is competitive, company is inclusive, and we are open to hire remotely (half of us are). So, - if you are thinking of transitioning to industry or just looking for a new endeavor, please have a closer look at our job ad here . - If you know someone who is, please forward ! - If you have any questions about the position, or if you?re just curious about Flywheel, please reach out to careers at flywheel.io. We really do cool things . Cheers, Nicolas ___ Nicolas Pannetier Senior Scientific Solutions Engineer | Flywheel m: +1 415 867 6034 www.flywheel.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jelle.Veraart at nyulangone.org Mon Nov 23 12:25:02 2020 From: Jelle.Veraart at nyulangone.org (Veraart, Jelle) Date: Mon, 23 Nov 2020 17:25:02 +0000 Subject: [Neuroimaging] Survey on image preprocessing of Diffusion MRI data Message-ID: <9da71168360a473b877efec80a50c0a4@nyulangone.org> Dear Neuroimagers, Image preprocessing is an essential part of the analysis of diffusion MRI (dMRI) data. In this process, we ultimately aim to improve the visual and statistical interpretation of our dMRI analyses by removing or reducing signal fluctuations that don't have a biophysical origin. Thermal noise, subject motion, and various imaging artifacts have been identified as such sources of unwanted signal fluctuations. When designing a preprocessing pipeline, hundreds of choices need to be made. It has been demonstrated that various combinations of those choices might impact the outcome of your dMRI analysis significantly. However, few steps to standardization have been taken. With a survey, we now aim to get some insight in the variability in preprocessing strategies and preferences that have been adopted within our scientific community. The survey is the first part of the "Best practices in dMRI preprocessing" project that has been initiated by the Diffusion Study Group (DSG) of the International Society of Magnetic Resonance in Medicine (ISMRM). We estimate that completing the survey will take about 7 minutes. We hope that you'll find the time to contribute to this project by following this link https://nyu.qualtrics.com/jfe/form/SV_6m3MpZoTQlEi6kR and answer the questions that we have for you. For questions about this survey or the "Best Practices in dMRI preprocessing" project, please contact jelle.veraart at nyulangone.org We'd like to reach as much people as possible, so please share this survey to anyone who might be interested or via social media. Thanks! Jelle ------------------------------------------------------------ This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. 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