EEG-MRI, EEG-fMRI, Combined Analysis

Chapter Contents (Back)
Magnetic Resonance. MRI. Electroencephalogram. EEG.

Jeong, J.W.[Jeong-Won], Kim, T.S.[Tae-Seong], Kim, S.H.[Sung-Heon], Singh, M.[Manbir],
Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG,
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Wotawa, N.[Nicolas], Thirion, B.[Bertrand], Castet, E.[Eric], Anton, J.L.[Jean-Luc], Faugeras, O.D.[Olivier D.],
Human Retinotopic Mapping Using fMRI,
INRIARR-5472, 2005.
HTML Version. BibRef 0500

Deneux, T.[Thomas], Faugeras, O.D.[Olivier D.],
EEG-fMRI fusion of non-triggered data using Kalman filtering,
INRIARR-5760, 2005.
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Parameter estimation efficiency using nonlinear models in fMRI,
INRIARR-5758, 2005.
HTML Version. BibRef

Colliot, O.[Olivier], Camara, O.[Oscar], Bloch, I.[Isabelle],
Integration of fuzzy spatial relations in deformable models: Application to brain MRI segmentation,
PR(39), No. 8, August 2006, pp. 1401-1414.
Elsevier DOI Spatial relations; Deformable models; Fuzzy sets; MRI; Subcortical structures 0606

Burguet, J., Gadi, N., Bloch, I.,
Realistic Models of Children Heads from 3D-MRI Segmentation and Tetrahedral Mesh Construction,

Pescatore, J., Garnero, L., Bloch, I.,
Tetrahedral 3D finite element meshes of head tissues from MRI for the MEG/EEG forward problem,
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Peterson, M.F.[Matthew F.], Das, K.[Koel], Sy, J.L.[Jocelyn L.], Li, S.[Sheng], Giesbrecht, B.[Barry], Kourtzi, Z.[Zoe], Eckstein, M.P.[Miguel P.],
Ideal observer analysis for task normalization of pattern classifier performance applied to EEG and fMRI data,
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Al-Baddai, S., Al-Subari, K., Tome, A.M., Volberg, G., Lang, E.W.,
A Combined EMD-ICA Analysis of Simultaneously Register EEG-fMRI Data,
BMVA(2015), No. 2, 2015, pp. 1-15.
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Wen, X.T.[Xiao-Tong], Kang, M.X.[Ming-Xuan], Yao, L.[Li], Zhao, X.J.[Xiao-Jie],
Real-time ballistocardiographic artifact reduction using the k-teager energy operator detector and multi-channel referenced adaptive noise cancelling,
IJIST(26), No. 3, 2016, pp. 209-215.
DOI Link 1609

Tu, T., Koss, J., Sajda, P.,
Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task,
Electroencephalography, Face, Functional magnetic resonance imaging, Training, Automobiles, Spatiotemporal phenomena BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Cortex, Brain Waves, EEG Analysis, Electroencephalogram .

Last update:Aug 31, 2023 at 09:37:21