Based on the space-time adaptive processing (STAP) model we developed, an improved STAP model is introduced which combines correlated spatial information in its steering matrix. Experiment shows that this spatiotemporal approach will more closely match the true scenario and fully utilizes the spatiotemporal potential of the STAP model for fMRI
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usua...
Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide ...
Background: In fMRI decoding, temporal embedding of brain spatial features allows the incorporation ...
Space-time adaptive processing (STAP), previously developed in the field of sensor array processing ...
This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fM...
This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fM...
In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of w...
Space-time adaptive processing (STAP), previously developed in the field of sensor array processing ...
Functional magnetic resonance imaging (fMRI) uses fast MRI techniques to enable studies of dynamic p...
Statistical tools for functional neuro-imaging are aimed at investigating the relationship between t...
In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of w...
A novel data processing procedure for fMRI was suggested in this paper, by which spatial and tempora...
Partially adaptive STAP for fMRI: a method for detecting brain activation regions in simulation and ...
Since its development in the early 1990s, functional MRI has emerged as a useful tool to explore the...
The application of data mining techniques, particularly classification of spatio-temporal 3D functio...
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usua...
Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide ...
Background: In fMRI decoding, temporal embedding of brain spatial features allows the incorporation ...
Space-time adaptive processing (STAP), previously developed in the field of sensor array processing ...
This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fM...
This paper introduces three partially adaptive space-time processing (STAP) schemes for analyzing fM...
In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of w...
Space-time adaptive processing (STAP), previously developed in the field of sensor array processing ...
Functional magnetic resonance imaging (fMRI) uses fast MRI techniques to enable studies of dynamic p...
Statistical tools for functional neuro-imaging are aimed at investigating the relationship between t...
In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of w...
A novel data processing procedure for fMRI was suggested in this paper, by which spatial and tempora...
Partially adaptive STAP for fMRI: a method for detecting brain activation regions in simulation and ...
Since its development in the early 1990s, functional MRI has emerged as a useful tool to explore the...
The application of data mining techniques, particularly classification of spatio-temporal 3D functio...
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usua...
Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide ...
Background: In fMRI decoding, temporal embedding of brain spatial features allows the incorporation ...