ASD diagnosis on ABIDE I
Deep learning using the ABIDE data
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Fader Networks for domain adaptation on fMRI: ABIDE-II study
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.
Single Volume Image Generator and Deep Learning-Based ASD Classification using ABIDE Dataset.
Data from our own pre-processing of the ABIDE I sMRI dataset (1035 subjects) in FreeSurfer v6.
Repository of my BSc Artificial Intelligence thesis "3D Group Equivariant CNNs for Autism Classification".
Experiments with using total variation regularization on the ABIDE fmri dataset.
Age-related changes in Cortical Thickness in Autism
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