STATISTICS

Viewed2618

Downloads1659

A Multi-level Information Fusion Method Based on Multimodal Magnetic Resonance Imaging of Human Brain
[1]Nan Yanfen,Meng Panting,Tong Zhihang,et al.A Multi-level Information Fusion Method Based on Multimodal Magnetic Resonance Imaging of Human Brain[J].Journal of Zhengzhou University (Engineering Science),2021,42(04):26-32.[doi:10.13705/j.issn.1671-6833.2021.04.006]
Copy
References:
[1] MENG X,JIANG R T,LIN D D,et al.Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data [J].Neuroimage,2017,145:218-229.
[2] SUI J,HUSTER R,YU Q B,et al.Function-structure associations of the brain:evidence from multimodal connectivity and covariance studies [J].Neuroimage,2014,102(1):11-23.
[3] CALHOUN V D,LEMIEUX L.Neuroimage:special issue on multimodal data fusion [J].Neuroimage,2014,102(1):1-2.
[4] LIU M X,ZHANG J,YAP P T,et al.View-aligned hypergraph learning for Alzheimer′s disease diagnosis with incomplete multi-modality data [J].Medical image analysis,2017,36:123-134.
[5] QI S L,CALHOUN V D,Van ERP T G M,et al.Multimodal fusion with reference:searching for joint neuromarkers of working memory deficits in schizophrenia [J].IEEE transactions on medical imaging,2018,37(1):93-105.
[6] SUI J,QI S,Van ERP T G M,et al.Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion[EB/OL].(2018-08-02)[2020-12-08].https://doi.org/10.1038/s41467-018-05432-w.
[7] DING C,PENG H.Minimum redundancy feature selection from microarray gene expression data [J].Bioinformatics computational biology,2005,3(2):185-206.
[8] KRAMER M A.Nonlinear principal component analysis using autoassociative neural networks [J].Aiche journal,1991,37(2):233-243.
[9] ABDI H,WILLIAMS L J.Principal component analysis [J].Wiley interdisciplinary reviews computational statistics,2010,2(4):433-459.
[10] HE Y,CHEN Z,EVANS A.Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer′s disease [J].The journal of neuroscience,2008,28(18):4756-4766.
[11] STAM C J,De HAAN W,DAFFERTSHOFER A,et al.Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer′s disease [J].Brain,2009,132(1):213-224.
[12] 尚志刚,沈晓阳,李蒙蒙,等.基于格兰杰因果的效应性连接分析方法综述 [J].郑州大学学报(工学版),2020,41(3):1-7,13.
[13] KETTENRING J R.Canonical analysis of several sets of variables [J].Biometrika,1971,58(3):433-451.
[14] CALHOUN V D,ADALI T,GIULIANI N R,et al.Method for multimodal analysis of independent source differences in schizophrenia:combining gray matter structural and auditory oddball functional data [J].Human brain mapping,2006,27(1):47-62.
[15] TZOURIO-MAZOYER N,LANDEAU B,PAPATHANASSIOU D,et al.Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain [J].Neuroimage,2002,15(1):273-289.
[16] MORI S,OISHI K,JIANG H Y,et al.Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template [J].Neuroimage,2008,40(2):570-582.
Similar References:
Memo

-

Last Update: 2021-08-26
Copyright © 2023 Editorial Board of Journal of Zhengzhou University (Engineering Science)