Benchmarks for functional connectivity estimators and FCEst Python package
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Updated
Jun 1, 2024 - Python
Benchmarks for functional connectivity estimators and FCEst Python package
Methods for estimating time-varying functional connectivity (TVFC)
LaTeX code for my PhD thesis.
Code to identify hubs through degree of nodes, given adjacency matrices of a population sample
Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks
Heterogeneous federated learning for graph super-resolution
A personal and professional website. Predominantly a tool to help me learn HTML, CSS, and Git.
Diffusion-based Graph Super-resolution
Federating temporally-varying graph timeseries
Federated Multimodal and Multiresolution Graph Integration
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Multi-Modal Dynamical Coherence Analysis Toolbox
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Predicting multigraph brain population from a single graph
Recurrent multigraph neural network
Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
Compute connectivity gradients using functional MRI data
Multigraph fusion and classification network using graph neural network
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