_ | meg | _ |
Automatic Spatial Calibration of Ultra-Low-Field MRI for High-Accuracy Hybrid | meg | -MRI |
Bayesian Machine Learning: EEG/ | meg | signal processing measurements |
Classifying Event-Related Desynchronization in EEG, ECoG and | meg | Signals |
Conservative Finite Element Modeling of EEG and | meg | on Unstructured Grids |
DECAF: | meg | -Based Multimodal Database for Decoding Affective Physiological Responses |
Decoding affect in videos employing the | meg | brain signal |
Differential transient | meg | and fMRI responses to visual stimulation onset rate |
EEG/ | meg | source imaging in the absence of subject's brain MRI scan: Perspective on co-registration and MRI selection approach |
Efficient | meg | signal decoding of direction in wrist movement using curve fitting (EMDC) |
Fully-Automated Spike Detection and Dipole Analysis of Epileptic | meg | Using Deep Learning |
Inverse EEG and | meg | Problems: The Adjoint State Approach I: The Continuous Case, The |
Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal | meg | /EEG Source Reconstruction, The |
Kernel alignment for identifying objective criteria from brain | meg | recordings in schizophrenia |
| meg | source reconstruction with basis functions source model |
| meg | , RFFTs, and the Hunt for High Frequency Oscillations |
| meg | -based imaging of focal neuronal current sources |
| meg | : Multi-Evidence GNN for Multimodal Semantic Forensics |
| meg | : Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset |
| meg | : Texture operators for multi-expert gender classification |
Movie Genre Classification by Exploiting | meg | Brain Signals |
New Application of | meg | and DTI on Word Recognition, A |
Numerical aspects of spatio-temporal current density reconstruction from EEG-/ | meg | -data |
Optical Co-Registration Method of Triaxial OPM- | meg | and MRI |
Probabilistic Structure Learning for EEG/ | meg | Source Imaging With Hierarchical Graph Priors |
Robust | meg | Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity |
signal-to-image transformation approach for EEG and | meg | signal classification, A |
Spatially Sparse, Temporally Smooth | meg | Via Vector L_0 |
Spatiotemporal forward solution of the EEG and | meg | using network modeling |
Statistical Method for Source Localization in | meg | /EEG Tomographic Reconstruction Problem |
Testing Viewpoint Invariance in the Neural Representation of Faces: An | meg | Study |
Tetrahedral 3D finite element meshes of head tissues from MRI for the | meg | /EEG forward problem |
Three-dimensional FDTD modeling of neurons to solve EEG and | meg | forward problem |
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