fmri-data

Load and model the brain data of the Algonauts Project 2023 Challenge.

A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI

This is the repository for the research project about the Generalized Procrustes Analysis using spatial anatomical information in fMRI data, i.e., the ProMises (Procrustes von Mises-Fisher) model

BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing.

Semi-blind deconvolution for fMRI (BOLD signal)

Application of Fully Connected Neural Networks (FCNs) & Graphical Convolutional Neural Networks (GCNs) using pytorch to fmri movie data

A collection of python scripts and functions to (po)st(p)rocess fmridata, preprocessed with fmriprep

Code for the analyses of our fMRI mind-reading study

Official implementation of "Forecasting fMRI Images From Video Sequences: Linear Model Analysis".

This project uses CNN and CNN-LSTM models to classify ADHD from fMRI data, using pretrained weights from a CNN autoencoder (CNN-AE) for better feature extraction.

The work I have done while doing my Internship at METU CENG ImageLab

Covariance prediction in the context of applying causality frameworks (potential outcomes) to fMRI sleep data to explore brain connectivity.

Interpretable, transparent and bio-inspired NeuroAI framework for predictive modelling and mechanistic hypothesis generation from fMRI, with synthetic ground-truth benchmarks.