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    ICASSP
    2009
    IEEE
    200views Signal Processing» more  ICASSP 2009»
    Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
    13 years 11 months ago
    Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
    Download  www.csee.umbc.edu
    Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
    Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
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    MICCAI
    2007
    Springer
    217views Medical Imaging» more  MICCAI 2007»
    Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
    14 years 5 months ago
    Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
    Download  people.csail.mit.edu
    In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
    Polina Golland, Yulia Golland, Rafael Malach
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    DSP
    2006
    400views Emerging Technology» more  DSP 2006»
    On the application of cross correlation function to subsample discrete time delay estimation
    13 years 5 months ago
    On the application of cross correlation function to subsample discrete time delay estimation
    Download  www4.comp.polyu.edu.hk
    Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
    Lei Zhang 0006, Xiaolin Wu
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    IPMI
    2009
    Springer
    204views Medical Imaging» more  IPMI 2009»
    Exploratory fMRI Analysis without Spatial Normalization
    13 years 11 months ago
    Exploratory fMRI Analysis without Spatial Normalization
    Download  people.csail.mit.edu
    Abstract. We present an exploratory method for simultaneous parcellation of multisubject fMRI data into functionally coherent areas. The method is based on a solely functional repr...
    Danial Lashkari, Polina Golland
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    ISBI
    2009
    IEEE
    217views Medical Imaging» more  ISBI 2009»
    Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis
    13 years 11 months ago
    Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis
    Download  www.ece.ubc.ca
    Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...
    Bernard Ng, Rafeef Abugharbieh, Martin McKeown
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