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.
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
Useful tools from the Network Neuroscience Lab
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
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
How to fuse a population of graphs into a single one using graph neural networks?
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
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''
Analyze brain surface/volume (gifti, cifti, nifti) in R and extract networks
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
Predicting multigraph brain population from a single graph
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
Federating temporally-varying graph timeseries
FS-Select identifies the best feature selection (FS) method for a given dataset from a pool of FS methods.
Fast Temporal Wavelet Graph Neural Networks (NeurIPS 2023)
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
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