Maybe someone could collate this info into a blog post to preserve?

-Steve


> On Aug 15, 2018, at 12:16 , Pablo Hernandez via discuss 
> <discuss@lists.carpentries.org> wrote:
> 
> Hello all, such a good collection of resources!
> 
> I would like to add the effort of the image analysis library Insight ToolKit 
> (ITK) to quickly create 3D visualizations in the web and/or with jupyter 
> notebooks.
> 
> They are not in a lesson format, but it is promising!
> 
> Here is a mybinder with all the dependencies installed:
> 
>   
> https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-jupyter-widgets/master?filepath=examples%2F3DImage.ipynb
> 
>   
> https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-jupyter-widgets/master?filepath=examples/SpecifyAColormap.ipynb
> 
>   
> https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-jupyter-widgets/master?filepath=examples/SelectRegionOfInterest.ipynb
> 
> Based on this repo:   
> https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets
> 
> There is also a course of Biomedical Image Analysis and Visualization: 
> https://github.com/KitwareMedical/2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualization
> 
> If the user is running the notebooks locally, instead of in mybinder, we just 
> need:
> `pip install --user itkwidgets`
> 
> Best regards,
> Pablo
> 
> 
> On Wed, Aug 15, 2018 at 12:59 PM, mbgoodman via discuss 
> <discuss@lists.carpentries.org> wrote:
> Hello all,
> I am sorry I missed this thread in May.  As Amy Hodge noted, we have been 
> developing image processing lessons at Stanford.  The first iteration was 
> held in 2017 and was built by a team of Stanford grad students mentored by 
> Greg Wilson.  We are in the midst of updating four lessons for the next 
> iteration, to be held in 2018.  I need to check in with the current TA team 
> about updates, but initial github repo is here:
> https://github.com/DataLucence/images
> 
> I am digesting all of the other resources noted in this thread over the next 
> 6 weeks.  
> 
> -Miriam Goodman
> 
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