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Classification of Alzheimer's disease status with convolutional neural networks.

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<h1 align="center">
  Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
</h1>

:warning: **Note:** :warning:
> This project evolved in a python package for the processing of neuroimaging data
> with deep learning methods. Please use the [ClinicaDL](https://github.com/aramis-lab/clinicadl)
> library to benefit from the last updates!

## About the project

This repository hosts the code source for reproducible experiments on
**automatic classification of Alzheimer's disease (AD) using anatomical MRI
data**.
It allows training autoencoders and convolutional neural networks.
The journal version of the paper describing this work is available
[here](https://doi.org/10.1016/j.media.2020.101694) and an Open Access version is available [here](https://hal.archives-ouvertes.fr/hal-02562504v2/document).

## Pretrained models

Some pretrained CNNs can be obtained here:
<https://zenodo.org/record/3491003>.
These models were obtained during the experiments for publication.

## Bibliography

All the papers described in the "State of the art" section of the manuscript may
be found at this URL address: <https://www.zotero.org/groups/2337160/ad-dl>.

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