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Dec 13, 2024
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Merge pull request #55 from CBICA/ge-dev
gurayerus Dec 12, 2024
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Merge pull request #58 from CBICA/ge-dev
AlexanderGetka-cbica Dec 13, 2024
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Update README.md
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6 changes: 6 additions & 0 deletions README.md
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# NiChart: Neuro-imaging Chart

Full documentation at https://cbica.github.io/NiChart_Project

GitHub page at https://github.com/CBICA/NiChart_Project

## About

NiChart is a novel AI-powered neuroimaging platform with tools for computing a dimensional chart from multi-modal MRI data. NiChart provides end-to-end pipelines from raw DICOM data to advanced
AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with
reference distributions for comparison to a broader population.
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5 changes: 3 additions & 2 deletions docs2/README.rst
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Expand Up @@ -2,6 +2,7 @@ NiChart: Neuro-imaging Chart
============================

Full documentation at `NiChart Documentation <https://cbica.github.io/NiChart_Project>`_
NiChart Package at `NiChart GitHub <https://github.com/CBICA/NiChart_Project>_

About
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We provide both a locally installable **desktop application** and a **cloud-based application**.

For the desktop application please see [FIXME: link to readthedocs and Github].
For the desktop application please see https://github.com/CBICA/NiChart_Project .

[NiChart cloud application](https://neuroimagingchart.com/portal), hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the *NiChart* tools as a standard web application accessible via the user’s web browser.
`NiChart cloud application <https://neuroimagingchart.com/portal>`, hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the *NiChart* tools as a standard web application accessible via the user’s web browser.

The cloud and desktop applications are unified at the code level through the use of the Python library [Streamlit](https://streamlit.io/). Consequently, the user experience is nearly identical between the cloud and desktop applications.

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