Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
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Updated
Apr 6, 2024 - MATLAB
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
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
How to fuse a population of graphs into a single one using graph neural networks?
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
Repository of the code used for the paper "Functional Control of Oscillator Networks"
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
Code supporting 'Stochastic synchronization of dynamics on the human connectome'
FS-Select identifies the best feature selection (FS) method for a given dataset from a pool of FS methods.
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''
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
Analyze brain surface/volume (gifti, cifti, nifti) in R and extract networks
MATLAB Toolbox for studying Brain Networks of anatomical/functional covariance.
Intermodalitty graph superresolution.
SM-NetFusion for supervised multi-topology network cross-diffusion.
Federating temporally-varying graph timeseries
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