Classification of brain networks based on graph centrality measures
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Updated
Jun 30, 2024 - Python
Classification of brain networks based on graph centrality measures
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
Useful tools from the Network Neuroscience Lab
fMRI data analysis of long-covid patients
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
A scalable Mapper algorithm for neuroimaging data analysis
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
Resting-state Functional Correlation (RSFC) node set (Chan et al. 2014 PNAS)
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Fast Temporal Wavelet Graph Neural Networks
How to fuse a population of graphs into a single one using graph neural networks?
Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning''
Federating temporally-varying graph timeseries
Code and data of the paper Clusella et al. "Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks" (2023) https://doi.org/10.1371/journal.pcbi.1010781
Ruiqi's personal website
Predicting multigraph brain population from a single graph
Analyze brain surface/volume (gifti, cifti, nifti) in R and extract networks
Topological data analysis of brain networks through order statistics
Repository of the code used for the paper "Functional Control of Oscillator Networks"
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
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