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Past, Present and Future of Open Science (Software/process demo): Group ICA Toolbox: New features and developments #37
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Thanks Stephan. Is there a place where i can enter the collaborators Dr. Vince Calhoun and Dr. Armin Iraji?
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From: Stephan Heunis <notifications@github.com>
Sent: Friday, May 15, 2020 10:38 AM
To: ohbm/osr2020 <osr2020@noreply.github.com>
Cc: Naga Satya Kanaka Srinivas Rachakonda <srachakonda@gsu.edu>; Mention <mention@noreply.github.com>
Subject: [ohbm/osr2020] Past, Present and Future of Open Science (Software/process demo): Group ICA Toolbox: New features and developments (#37)
Group ICA Toolbox: New features and developments
By Srinivas Rachakonda, Georgia State University
* Theme: Past, Present and Future of Open Science
* Format: Software/process demo
Abstract
We provide a brief demo on the new features in the upcoming version of the Group ICA Toolbox (GroupICATv4.0c). The Group ICA toolbox (GIFT, EEGIFT and SBM) is a widely used and open MATLAB toolbox in the neuroimaging community for analyzing medical imaging data offering a wide variety of source separation techniques including independent component analysis and independent vector analysis. We specifically focus on three newer aspects of GIFT including the various options for using the tools stand-alone without a Matlab license (e.g. Docker, Nipype/giftpy and stand-alone executable), fully automated ICA using spatial references as priors or autolabelling and dynamic connectivity based toolboxes in both the spatial and temporal domains.
Useful Links
https://trendscenter.org/software/gift/<https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftrendscenter.org%2Fsoftware%2Fgift%2F&data=02%7C01%7Csrachakonda%40gsu.edu%7Cb9dc588eaae24e4ec0c208d7f8ee5633%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C637251574847350407&sdata=K4sxxu63bxe0jGuVgcJIZtZmCUatBgbtKUDQm8hxbeU%3D&reserved=0>
https://github.com/trendscenter/groupica_docker<https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Ftrendscenter%2Fgroupica_docker&data=02%7C01%7Csrachakonda%40gsu.edu%7Cb9dc588eaae24e4ec0c208d7f8ee5633%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C637251574847360396&sdata=n07j7%2BXfWRcomU7BXU0A2nQAWVtnDcNhemdwBJyA%2BWM%3D&reserved=0>
Tagging @calhounlab<https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fcalhounlab&data=02%7C01%7Csrachakonda%40gsu.edu%7Cb9dc588eaae24e4ec0c208d7f8ee5633%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C637251574847360396&sdata=PdN04AQ3lpYji7Lu3hmItu4zNnm6EXbY79FCDp6fYZY%3D&reserved=0>
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I've added this at the top, is that fine? |
Prefect. Thanks Stephan
…________________________________
From: Stephan Heunis <notifications@github.com>
Sent: Friday, May 15, 2020 2:17 PM
To: ohbm/osr2020 <osr2020@noreply.github.com>
Cc: Naga Satya Kanaka Srinivas Rachakonda <srachakonda@gsu.edu>; Mention <mention@noreply.github.com>
Subject: Re: [ohbm/osr2020] Past, Present and Future of Open Science (Software/process demo): Group ICA Toolbox: New features and developments (#37)
I've added this at the top, is that fine?
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GIFT is indeed a widely used toolbox. Having a containerized version which does not require a matlab license will prove very useful. Both the prior-based decomposition and dynamic analyses fill a gap in the current toolbox offerings, and I am very much looking forward to hear about these new developments. |
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Group ICA Toolbox: New features and developments
By Srinivas Rachakonda, Georgia State University
Collaborators: Dr. Vince Calhoun and Dr. Armin Iraji
Abstract
We provide a brief demo on the new features in the upcoming version of the Group ICA Toolbox (GroupICATv4.0c). The Group ICA toolbox (GIFT, EEGIFT and SBM) is a widely used and open MATLAB toolbox in the neuroimaging community for analyzing medical imaging data offering a wide variety of source separation techniques including independent component analysis and independent vector analysis. We specifically focus on three newer aspects of GIFT including the various options for using the tools stand-alone without a Matlab license (e.g. Docker, Nipype/giftpy and stand-alone executable), fully automated ICA using spatial references as priors or autolabelling and dynamic connectivity based toolboxes in both the spatial and temporal domains.
Useful Links
https://trendscenter.org/software/gift/
https://github.com/trendscenter/groupica_docker
Tagging @calhounlab
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