<h1 align="center">
<a href="https://anbai106.github.io/MAGIC/">
<img src="https://anbai106.github.io/MAGIC/images/magic.png" alt="magic logo" width="150" height="150">
</a>
<br/>
MAGIC
</h1>
<p align="center"><strong>Multi-scAle heteroGeneity analysIs and Clustering</strong></p>
<p align="center">
<a href="https://anbai106.github.io/MAGIC/">Documentation</a>
</p>
## `MLNI`
**MAGIC**, Multi-scAle heteroGeneity analysIs and Clustering, is a multi-scale semi-supervised clustering method that aims to derive robust clustering solutions across different scales for brain diseases.
> :warning: **The documentation of this software is currently under development**
## Citing this work
### If you use this software for clustering:
> Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2020) **MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases**. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12267. Springer, Cham. https://doi.org/10.1007/978-3-030-59728-3_66
> Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2022) **Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes**. Medical Image Analysis, 2022. https://doi.org/10.1016/j.media.2021.102304 - [Link](https://www.sciencedirect.com/science/article/pii/S1361841521003492)
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