NiChart is a comprehensive framework designed to revolutionize neuroimaging research. It offers large-scale neuroimaging capabilities, sophisticated analysis methods, and user-friendly tools, all integrated seamlessly into the AWS Cloud.
- Image Processing: Utilizes tools like DLMUSE, fMRIPrep XCEPengine, and QSIPrep for effective image analytics.
- Reference Data Curation: Houses ISTAGING, 70000 Scans, and 14 individual studies to provide curated reference data.
- Data Harmonization: Employs neuroharmonize and Combat for ensuring consistent data standards.
- Machine Learning Models: Provides Supervised, Semi-supervised, and DL Models for advanced neuroimaging analysis.
- Data Visualization: Features like Centile curves, direct image linking, and reference values for comprehensive data visualization.
- Deployment: AWS Cloud App support with open-source Github components and Docker container compatibility.
git clone --recursive https://github.com/CBICA/NiChart_Project.git- Navigate to each submodule and follow their individual installation instructions.
For a visual guide, see this GIF:
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