Code for the paper "Beyond Accuracy: A Methodological Roadmap...". This repository provides a PyTorch pipeline for training and evaluating a 3D CNN on fMRI data for ASD classification, with a focus…

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Various matlab scripts for analysis of Freesurfer and fMRI data. Also contains analysis for epigenitc data and longitudinal head circumference in autism

Model for Autism diagnosis from fMRI data

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…

fMRI, machine learning

Deep Learning for Autism Spectrum Disorder Diagnosis: Leveraging Multi-Source fMRI Data and Addressing Model Interpretability

The official Pytorch implementation of paper "Community-Aware Transformer for Autism Prediction in fMRI Connectome" accepted by MICCAI 2023

Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)

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

ASD classification for ABIDE dataset

Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.

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

ML program that uses the ABIDE I Dataset to diagnose Autism Spectrum Disorder

ASD classification

running DCM analysis on rs-fMRI from the ABIDE dataset

Diagnosing Autism Spectrum Disorder using fMRI data

ASD diagnosis on ABIDE I

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