This repository contains a software framework for reproducible machine learning experiments on automatic classification of Alzheimer's disease (AD) using multimodal MRI and PET data from three publicly available datasets ADNI, AIBL, OASIS. It is developed by the ARAMIS Lab.
Citing this work
If you use this software, please cite:
J. Samper-Gonzalez, N. Burgos, S. Bottani, S. Fontanella, P. Lu, A. Marcoux, A. Routier, J. Guillon, M. Bacci, J. Wen, A. Bertrand, H. Bertin, M.-O. Habert, S. Durrleman, T. Evgeniou and O. Colliot, Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage, 183:504–521, 2018 doi:10.1016/j.neuroimage.2018.08.042 - Paper in PDF - Supplementary material
In addition, if you use Diffusion MRI data or related code, please cite:
J. Wen, J. Samper-Gonzalez, S. Bottani, A. Routier, N. Burgos, T. Jacquemont, S. Fontanella, S. Durrleman, S. Epelbaum, A. Bertrand, and O. Colliot, Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease. Submitted for publication
This code relies heavily on the Clinica software platform that you will need to install.
The documentation is available at: https://github.com/aramis-lab/AD-ML/wiki