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内部出版物
在“
Elsevier电子期刊
”中,
命中:
536
条,耗时:小于0.01 秒
1.
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework
作者:
Erdem Varol
;
erdem.varol@uphs.upenn.edu
;
Aristeidis Sotiras
;
Christos Davatzikos
;
for the Alzheimer's Disease Neuroimaging Initiative
1
关键词:
Semi-supervised pattern analysis
;
Multivariate
;
Max-margin classification
;
Convex polytope
;
SVM
;
Clustering
;
MRI
;
Genetics
;
Neuroimaging
;
Heterogeneity
;
Aging
;
Alzheimer's disease
;
ADNI
刊名:NeuroImage
出版年:2017
2.
Longitudinal changes in microstructural white matter metrics in Alzheimer's disease
作者:
Chantel D. Mayo
a
;
cmayo@uvic.ca
;
Erin L. Mazerolle
b
;
emazerol@ucalgary.ca
;
Lesley Ritchie
c
;
lritchie3@exchange.hsc.mb.ca
;
John D. Fisk
d
;
e
;
f
;
g
;
John.Fisk@nshealth.ca
;
Jodie R. Gawryluk
a
;
gawryluk@uvic.ca
;
for the Alzheimer's Disease Neuroimaging Initiative
1
关键词:
AD
;
Alzheimer's disease
;
ADNI
;
Alzheimer's Disease Neuroimaging Initiative
;
DTI
;
diffusion tensor imaging
;
FA
;
fractional anisotropy
;
FSL
;
Functional MRI of the Brain Software Library
;
HC
;
healthy controls
;
MCI
;
mild cognitive impairment
;
MD
;
mean diffusivity
;
MRI
;
magnetic resonance imaging
;
MMSE
;
Mini Mental Status Exam
;
ROI
;
region of interest
;
TBSS
;
Tract-Based Spatial Statistics
;
WMS
;
Wechsler Memory Scale
刊名:NeuroImage: Clinical
出版年:2017
3.
Group-constrained manifold learning: Application to AD risk assessment
作者:
R. Guerrero
;
reg09@imperial.ac.uk
Author Vitae
;
C. LedigAuthor Vitae
;
A. Schmidt-RichbergAuthor Vitae
;
D. RueckertAuthor Vitae
;
The Alzheimer's Disease Neuroimaging Initiative (
ADNI
)
1
关键词:
Alzheimer's disease
;
Manifold learning
;
Longitudinal
;
Neurodegeneration
刊名:Pattern Recognition
出版年:2017
4.
Cognitive reserve moderates the association between functional network anti-correlations and memory in MCI
作者:
Nicolai Franzmeier
a
;
Katharina Buerger
a
;
Stefan Teipel
b
;
c
;
Yaakov Stern
d
;
Martin Dichgans
a
;
e
;
f
;
Michael Ewers
a
;
michael.ewers@med.uni-muenchen.de
;
for the Alzheimer's Disease Neuroimaging Initiative (
ADNI
)
关键词:
Sliding time window functional connectivity
;
Resting-state fMRI
;
Cognitive reserve
;
Mild cognitive impairment
;
Memory
刊名:Neurobiology of Aging
出版年:2017
5.
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
作者:
Olfa Ben Ahmed
a
;
olfa.ben-ahmed@unilim.fr
Author Vitae
;
Jenny Benois-Pineau
b
;
jenny.benois@labri.fr
Author Vitae
;
Michelle Allard
c
;
d
;
e
;
michelle.allard@chu-bordeaux.fr
Author Vitae
;
Gwé
;
naë
;
lle Catheline
c
;
d
;
e
;
gwenaelle.catheline@chu-bordeaux.fr
Author Vitae
;
Chokri Ben Amar
f
;
chokri.benamar@ieee.org
Author Vitae
;
For the Alzheimer's Disease Neuroimaging Initiative
1
关键词:
Alzheimer's disease
;
Multiple Kernel Learning
;
Mutlimodal fusion
;
Diagnosis
;
Local features
;
DTI
;
MD maps
;
CHFs
;
Imaging biomarkers
刊名:Neurocomputing
出版年:2017
6.
Nonlinear feature transformation and deep fusion for Alzheimer's Disease staging analysis
作者:
Bibo Shi
a
Author Vitae
;
Yani Chen
b
Author Vitae
;
Pin Zhang
b
Author Vitae
;
Charles D. Smith
c
Author Vitae
;
Jundong Liu
b
;
liuj1@ohio.edu
Author Vitae
;
For the Alzheimer's Disease Neuroimaging Initiative
1
关键词:
Metric learning
;
Alzheimer's Disease (AD)
;
Mild Cognitive Impairment (MCI)
;
SVM classifier
;
Feature fusion
;
Deep neural networks
刊名:Pattern Recognition
出版年:2017
7.
Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease
作者:
David A. Wolk
a
;
b
;
david.wolk@uphs.upenn.edu
;
Sandhitsu R. Das
a
;
Susanne G. Mueller
c
;
Michael W. Weiner
c
;
Paul A. Yushkevich
d
;
for the Alzheimer's Disease Neuroimaging Initiative
1
关键词:
Preclinical Alzheimer disease
;
Prodromal Alzheimer disease
;
Subfields
;
Perirhinal cortex
;
MRI
;
Biomarkers
刊名:Neurobiology of Aging
出版年:2017
8.
Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
作者:
Lauge Sø
;
rensen
a
;
b
;
lauges@diku.dk
;
Christian Igel
a
;
Akshay Pai
a
;
b
;
Ioana Balas
a
;
Cecilie Anker
b
;
Martin Lillholm
a
;
b
;
Mads Nielsen
a
;
b
;
for the Alzheimer&rsquo
;
s Disease Neuroimaging Initiative
;
the Australian Imaging Biomarkers
;
Lifestyle flagship study of ageing
关键词:
Alzheimer's disease
;
Biomarker
;
Classification
;
Machine learning
;
Mild cognitive impairment
;
Structural MRI
刊名:NeuroImage: Clinical
出版年:2017
9.
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications
作者:
Chenyang Tao
a
;
b
;
Thomas E. Nichols
c
;
Xue Hua
d
;
Christopher R.K. Ching
d
;
e
;
Edmund T. Rolls
b
;
f
;
Paul M. Thompson
d
;
g
;
Jianfeng Feng
a
;
b
;
h
;
jianfeng64@gmail.com
;
The Alzheimer's Disease Neuroimaging Initiative
1
关键词:
Dimension reduction
;
Generalized linear model
;
High dimensional tensor field
;
Latent factor
;
Least squares kernel machines
;
Nuclear norm regularization
;
Reduced rank regression
;
Riemannian manifold
刊名:NeuroImage
出版年:2017
10.
Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis
作者:
Jie Shi
a
;
Wen Zhang
a
;
Miao Tang
a
;
Richard J. Caselli
b
;
Yalin Wang
;
a
;
ylwang@asu.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Conformal invariant
;
Teichmü
;
ller shape space
;
Brain landmark curves
;
Alzheimer&rsquo
;
s disease
刊名:Medical Image Analysis
出版年:2017
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