[Announcements] MRICloud tutorial July 23-25
Francis Manno
francismanno at gmail.com
Fri Jul 5 22:30:28 EDT 2019
Hi Xin,
I could not find where to register. I would like to attend.
Sincerely
On Wed, Jun 19, 2019, 9:34 AM Xin Li <xli16 at jhmi.edu wrote:
> Hello,
>
> We plan to give a MRICloud tutorial July 23-25.
>
> MRICloud is our new cloud platform designed for automated image analysis.
> It has unique features focusing on anatomical segmentation and integration
> of multiple MRI results. The tutorial is a three-day session including
> image analysis for T1-based morphology, DTI analysis, rs-fMRI analysis, ASL
> analysis and application of R to MRICloud results.
>
> The tentative schedule is:
>
> Tuesday (July 23):
>
> 10am-11am: Introduction
>
> 11am-12pm: T1 multi-atlas segmentation: theory
>
> 12:50pm-13:50pm: Research topic I: Application of Segmentation-based
> analysis for AD
>
> 14pm-15pm: Hands-on: T1-based segmentation procedure step-by-step.
>
>
> Wednesday (July 24):
>
> 10am-11am: Hands-on: DTI analysis
>
> 11am-12pm: Hands-on: rs-fMRI analysis
>
> 13pm-14pm: Hands-on: ASL analysis
>
> 14pm-15pm: Introduction to QSM analysis
>
>
> Thursday (July 25):
>
> 10am-10:45am: Introduction to R
>
> 10:45am-11:30am: Application of R to MRICloud results:T1-based volumetric
> analysis
>
> 11:30am-12:15pm: Application of R to MRICloud results:Functional
> connectivity analysis
>
>
>
>
> The tutorial will be hosted in Johns Hopkins University Medical campus and
> Homewood campus.
>
> The location in Medial campus on July 23-24 is: Room 214, Traylor
> Building, 720 Rutland Avenue, Baltimore 21205. The Medical campus map is
> attached.
>
> The location in Homewood campus on July 25 will be announced later.
>
>
>
> As usual, the tutorial is free, but you are expected to bring your own
> laptop and cover all the travel expense by yourself. Please make sure to
> register yourself at www.mricloud.org. We will provide sample data but
> you are welcome to bring your own data in DICOM format (not from PACS but
> from scanners).
>
> Please follow the instructions at https://www.mristudio.org/wiki/mricloud
> to download the sample data and install the softwares.
>
> If you would like to attend this tutorial, please send me an email.
>
>
>
>
> Xin
>
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>
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