fMRI data analysis of long-covid patients
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Updated
May 14, 2024 - Python
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.
Useful tools from the Network Neuroscience Lab
A scalable Mapper algorithm for neuroimaging data analysis
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
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.
Embedding of Functional Human Brain Networks on a Sphere
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