[Neuroimaging] FA images Was: Nipy.org new website needs a complete remake

[vanessa sochat]

My .02 on flask:

The extra step is "freezing." The workflow to push an update will always be
something along the lines of:

- checkout or clone current flask site
- do changes
- freeze
- push to gh-pages

This seems do-able to me, but I sense that others aren't happy about the
extra step, and I am open to the idea that other frameworks could do it
better, perhaps at the cost of the more "interactive" back end allowed by
flask. At the end of the day, it doesn't really matter so much as long as
updating / adding content is relatively straight forward and pain free.
Looking forward to more discussion on this.

On Mon, Aug 3, 2015 at 6:33 AM, vanessa sochat <vsochat at stanford.edu> wrote:

> This week we should perhaps vote/decide on a final framework to port the
> nipy site into? I'm open to giving a go at whatever the group thinks is
> best :)
>
> On Mon, Aug 3, 2015 at 6:11 AM, Ariel Rokem <arokem at gmail.com> wrote:
>
>>
>> On Wed, Jul 29, 2015 at 8:38 PM, David Moreno-Dominguez <
>> d.mor.dom at gmail.com> wrote:
>>
>>> Doesnt Dipy already do this? (be open source and compute FA images
>>> [and much more] from any dwi dataset)
>>
>>
>> Absolutely - I was being ironic.
>>
>> But I will admit that irony doesn't travel well by email.
>>
>>
>>> On Wed, Jul 29, 2015 at 8:06 PM, Ariel Rokem <arokem at gmail.com> wrote:
>>> >
>>> > On Mon, Jul 27, 2015 at 10:44 AM, Gael Varoquaux
>>> > <gael.varoquaux at normalesup.org> wrote:
>>> >>
>>> >> On Mon, Jul 27, 2015 at 08:56:08AM -0700, Ariel Rokem wrote:
>>> >> >     PS: Vanessa: Nilearn is not only for fMRI. It's for statistical
>>> >> > analysis
>>> >> >     of images. It is also used for anatomical images:
>>> >> >
>>> http://nilearn.github.io/auto_examples/decoding/plot_oasis_vbm.html
>>> >> >     If we could get a preprocessed, openly downloadable set of
>>> images of
>>> >> > eg
>>> >> >     FA, we would do an example with diffusion too.
>>> >>
>>> >> > Completely off-topic, but I can't resist: if only there was an
>>> >> > open-source project that computed FA images from freely available
>>> >> > diffusion MRI data-sets!
>>> >>
>>> >> Well, you're welcome to help us with preprocessing and pitching a
>>> >> relevant prediction problem from this data. I know nothing about
>>> >> diffusion and nothing about the datasets you are talking about. In my
>>> >> experience, writing a relevant example requires understanding the data
>>> >> and the questions. If you, or someone else, gets us to the point where
>>> >> there is a set of nifti images of FA with condition A and condition B,
>>> >> and helps us write the story, than we have an example.
>>> >
>>> >
>>> > Hmm. Interesting idea. I am looking around for something along these
>>> lines.
>>> > I think that there are some freely available data-sets that are already
>>> > preprocessed, so could be used in this way. Let me think about how to
>>> go
>>> > about this.
>>> >
>>> >>
>>> >> Gaël
>>> >> _______________________________________________
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>>> >> Neuroimaging at python.org
>>> >> https://mail.python.org/mailman/listinfo/neuroimaging
>>> >
>>> >
>>> >
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>>
>>
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>>
>
>
> --
> Vanessa Villamia Sochat
> Stanford University
> (603) 321-0676
>



-- 
Vanessa Villamia Sochat
Stanford University
(603) 321-0676
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