(deepcombat-long)=
# DeepComBat

**DeepComBat** integrates ComBat with **deep learning-based feature modeling**.

The method uses neural networks to capture complex non-linear structure in the data while preserving the statistical harmonization principles of ComBat.

This hybrid approach allows the modeling of **complex scanner effects and feature interactions** that cannot be captured by linear models.

**Paper**

Hu, F., Lucas, A., Chen, A. A., Coleman, K., Horng, H., Ng, R. W., ... & Alzheimer's Disease Neuroimaging Initiative. (2024). Deepcombat: A statistically motivated, hyperparameter‐robust, deep learning approach to harmonization of neuroimaging data. Human brain mapping, 45(11), e26708. https://doi.org/10.1002/hbm.26708

**Source code**

- https://github.com/hufengling/DeepComBat

# Implementation status
- To be implemented