Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.
about
A review of multivariate analyses in imaging geneticsMulti-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesDiscriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaFunction-structure associations of the brain: evidence from multimodal connectivity and covariance studiesSample-poor estimation of order and common signal subspace with application to fusion of medical imaging data.Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.A review of multivariate methods for multimodal fusion of brain imaging dataA selective review of multimodal fusion methods in schizophrenia.Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.Alterations of Gray and White Matter Networks in Patients with Obsessive-Compulsive Disorder: A Multimodal Fusion Analysis of Structural MRI and DTI Using mCCA+jICA.Characteristic cortical thickness patterns in adolescents with autism spectrum disorders: interactions with age and intellectual ability revealed by canonical correlation analysisPyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.Inter-subject alignment of MEG datasets in a common representational space.Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of SchizophreniaCanonical Granger causality between regions of interest.Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation.Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: an fNIRS-EEG study.Machine Learning in Medical Imaging.Decomposing the brain: components and modes, networks and nodesSchizophrenia Shows Disrupted Links between Brain Volume and Dynamic Functional Connectivity.Combining multi-modality data for searching biomarkers in schizophrenia.Multimodal neural correlates of cognitive control in the Human Connectome Project.Optimizing Within-Subject Experimental Designs for jICA of Multi-Channel ERP and fMRI.Common and distinct components in data fusionCorticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis
P2860
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P2860
Canonical Correlation Analysis for Data Fusion and Group Inferences: Examining applications of medical imaging data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Canonical Correlation Analysis ...... tions of medical imaging data.
@ast
Canonical Correlation Analysis ...... tions of medical imaging data.
@en
type
label
Canonical Correlation Analysis ...... tions of medical imaging data.
@ast
Canonical Correlation Analysis ...... tions of medical imaging data.
@en
prefLabel
Canonical Correlation Analysis ...... tions of medical imaging data.
@ast
Canonical Correlation Analysis ...... tions of medical imaging data.
@en
P2860
P356
P1476
Canonical Correlation Analysis ...... tions of medical imaging data.
@en
P2093
Nicolle M Correa
P2860
P356
10.1109/MSP.2010.936725
P577
2010-01-01T00:00:00Z