3 citations · 5 across the 4 of their papers we have counts for
4 papers
SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain
Wei Zhang, Yu Bao
Deep Linear and Nonlinear learning methods have already been vital machine learning methods for investigating the hierarchical features such as functional connectivity in the human…
DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain
Wei Zhang, Yu Bao
The Matrix Decomposition techniques have been a vital computational approach to analyzing the hierarchy of functional connectivity in the human brain. However, there are still four…
Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
Wei Zhang, Ivor Cribben, sonia Petrone +1
In contemporary neuroscience, a key area of interest is dynamic effective connectivity, which is crucial for understanding the dynamic interactions and causal relationships between…
Localization of Epileptic Seizure Focus by Computerized Analysis of fMRI Recordings
Rasoul Hekmati, Robert Azencott, Wei Zhang +2
By computerized analysis of cortical activity recorded via fMRI for pediatric epilepsy patients, we implement algorithmic localization of epileptic seizure focus within one of eigh…