Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

This code repository contains a collection of Python scripts for classifying autistic and control conditions using Support Vector Machines (SVM), leveraging preprocessed functional MRI (fMRI) data from the ABIDE dataset.

Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.

Data from our own pre-processing of the ABIDE I sMRI dataset (1035 subjects) in FreeSurfer v6.

ASD diagnosis on ABIDE I

Repository of my BSc Artificial Intelligence thesis "3D Group Equivariant CNNs for Autism Classification".

Deep learning using the ABIDE data

Single Volume Image Generator and Deep Learning-Based ASD Classification using ABIDE Dataset.

Fader Networks for domain adaptation on fMRI: ABIDE-II study

Age-related changes in Cortical Thickness in Autism

Experiments with using total variation regularization on the ABIDE fmri dataset.