fMRI Imaging Analysis
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Updated
Oct 22, 2024 - Jupyter Notebook
fMRI Imaging Analysis
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Introduction to neuroimaging machine learning tool Nilearn
fMRI data analysis of long-covid patients
Methods for estimating time-varying functional connectivity (TVFC)
My research project on applying ML to brain data to predict measures of cognitive abilities.
Materials for the MRICN module, University of Birmingham (2024)
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
plot fMRI ROIs with different colors
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
group sequential tests for neuroimaging
Atlas methods and classes for neuroimaging
Drop-in extra features for Nilearn
Sex Classification based on Functional Connectivity using fMRI
Seed-based resting-state functional connectivity with Nilearn.
Python extension backed by a multi-threaded Rust implementation of Dynamic Time Warping (DTW).
Applying CNNs, Decoders, and Transfer Learning to distinguish the MRIs of heavy cannabis users vs. controls
Predicting risky behavior in structural brain volume using the UK Biobank
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