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Found 5 papers, 0 papers with code
DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI
In this paper, a novel diffusision generative adversarial network-based fMRI-to-SC (DiffGAN-F2S) model is proposed to predict SC from brain fMRI in an end-to-end manner.
Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits
And models of functional addiction circuits developed from functional imaging are an effective tool for discovering and verifying addiction circuits.
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction
The application of machine learning algorithms to the diagnosis and analysis of Alzheimer's disease (AD) from multimodal neuroimaging data is a current research hotspot.
Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification
Functional alterations in the relevant neural circuits occur from drug addiction over a certain period.
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning
Dynamic community detection has been prospered as a powerful tool for quantifying changes in dynamic brain network connectivity patterns by identifying strongly connected sets of nodes.
