DIPY: BUndle ANalytics (BUAN) Paper Talk
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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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Hello, Thank you all for joining the DIPY open meeting for the BUAN talk. In case you missed it, here's the link to the recorded BUAN presentation: https://youtu.be/9Ay1rhRTaKU Best, Bramsh On Fri, Nov 13, 2020 at 1:34 PM Bramsh Qamar <bramshq@gmail.com> wrote:
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
participants (1)
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Bramsh Qamar