Please download the ABIDE dataset from the following link. https://www.nitrc.org/ir/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/ABIDE
Use data preprocess file to convert all data using different atlases and save into numpy for each atlas
https://nilearn.github.io/modules/generated/nilearn.plotting.plot_prob_atlas.html
https://github.com/Parietal-INRIA/DiFuMo
Use data generator to convert data into batches
train, test and optimize the deep learning models.
We will update more results and evaluation code after accepting of the paper.
All codes are written in python and all deep learning models are written in PyTorch library. https://pytorch.org/
https://numpy.org/doc/stable/reference/index.html
https://link.springer.com/chapter/10.1007/978-981-16-7167-8_77