Deep learning using the ABIDE data
-
Updated
May 20, 2021 - Python
#
abide-data
Here are 13 public repositories matching this topic...
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
plotly cross-validation reproducible-science project-management autism fmri jupyter-notebooks nilearn scikitlearn-machine-learning leave-one-out-cross-validation abide-data kfold-cross-validation resting-state-fmri preparation-script cv-classifier brainhack-school support-vector-classification group-kfold-cross-validation
-
Updated
Oct 10, 2024 - Jupyter Notebook
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.
open-source opensource svm neuroimaging fmri svm-classifier fmri-preproc abide-data fmri-preprocessing fmri-data-analysis
-
Updated
Nov 1, 2023 - Python
Fader Networks for domain adaptation on fMRI: ABIDE-II study
-
Updated
Oct 15, 2020 - Jupyter Notebook
Single Volume Image Generator and Deep Learning-Based ASD Classification using ABIDE Dataset.
-
Updated
Apr 25, 2021
Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.
tabular-data abide dataset phenotypic data-dictionary phenotype datasets bids abcd ukb tabular hcp ukbiobank abide-data ukbb pnc hbn abcd-study nki
-
Updated
Aug 1, 2023 - Python
Data from our own pre-processing of the ABIDE I sMRI dataset (1035 subjects) in FreeSurfer v6.
-
Updated
Jun 29, 2023
Repository of my BSc Artificial Intelligence thesis "3D Group Equivariant CNNs for Autism Classification".
deep-learning convolutional-neural-networks autism-spectrum-disorder 3d-convolutional-network abide-data group-equivariant-neural-network
-
Updated
Nov 19, 2021 - Python
Preprocess ABIDE I and ABIDE II with fMRIPrep on HES-SO, using a YODA-compliant data analysis project implementation, using DataLad for provenance and reproducibility.
-
Updated
Apr 4, 2026 - Python
Reproducible neuroimaging pipeline exploring coevolutionary energy and functional network disruption in autism spectrum disorder.
python machine-learning computational-neuroscience neuroimaging complex-networks autism fmri connectomics brain-imaging biomarkers autism-spectrum-disorder functional-connectivity abide-data resting-state-fmri network-neuroscience brain-networks
-
Updated
Jul 8, 2026 - Jupyter Notebook
Age-related changes in Cortical Thickness in Autism
-
Updated
Mar 8, 2019 - MATLAB
Experiments with using total variation regularization on the ABIDE fmri dataset.
-
Updated
Nov 11, 2017 - Python
Ready-to-analyze ABIDE I & II (preprocessed with fMRIPrep)
-
Updated
Mar 7, 2026 - Shell
Add this topic to your repo
To associate your repository with the abide-data topic, visit your repo's landing page and select "manage topics."