BayesCGLM (Python Package for (A Bayesian Convolutional Neural Network-based Generalized Linear Model)

• Interpretable Bayesian deep learning method combining CNNs and GLMs for complex data (github)

gViZ: (Python and R Code for Network-based Topic Structure Visualization)

• Graph-based Trajectory Visualization for Text Mining of COVID-19 Biomedical Literature (github)

Summary-fcn (Python Package for A Fusion Analytic Framework for Investigating Functional Brain Connectivity Differences using Resting-state fMRI)

• Attention-based latent space model to compare brain connectivity patterns across cognitive impairment groups (github)

XAI (Python Package for  Deep Generative Modeling with Spatial and Network Images: An Explainable AI (XAI) Approach)

• Deep generative XAI model for ABCD fMRI integrating cortical features and coactivation networks (github)

DeepSurrogate (Python Package for Interpretable Deep Neural Network for Modeling Functional Surrogates)

• AI-based surrogate framework capturing nonlinear inputs and spatial dependence in functional outputs (github)