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CNKI学位论文(4704)
CNKI期刊论文0611(3)
知网期刊论文(5220)
在“
Elsevier电子期刊
”中,
命中:
3,388
条,耗时:0.163896 秒
在所有数据库中总计命中:
9,930
条
1.
Cross contrast multi-channel
image
registration using
image
synthesis for MR
brain
image
s
作者:
Min Chen
;
a
;
minchen1@upenn.edu
;
Aaron Carass
b
;
c
;
aaron_carass@jhu.edu
;
Amod Jog
c
;
amod@cs.jhu.edu
;
Junghoon Lee
b
;
d
;
junghoon@jhu.edu
;
Snehashis Roy
e
;
snehashis.roy@nih.gov
;
Jerry L. Prince
b
;
c
;
d
;
prince@jhu.edu
关键词:
Multi-modal
image
registration
;
Multi-channel
image
registration
;
Multi-contrast
magnetic
resonance
imaging
;
Image
synthesis
;
Image
processing
;
Multi-modal imaging
;
Brain
imaging
刊名:Medical
Image
Analysis
出版年:2017
2.
Brain
atlas fusion from high-thickness diagnostic
magnetic
resonance
image
s by learning-based super-resolution
作者:
Jinpeng Zhang
a
;
1
Author Vitae
;
Lichi Zhang
a
;
c
;
1
Author Vitae
;
Lei Xiang
a
Author Vitae
;
Yeqin Shao
b
Author Vitae
;
Guorong Wu
c
Author Vitae
;
Xiaodong Zhou
d
Author Vitae
;
Dinggang Shen
c
;
e
;
dgshen@med.unc.edu
Author Vitae
;
Qian Wang
a
;
wang.qian@sjtu.edu.cn
Author Vitae
关键词:
Brain
atlas
;
Super-resolution
;
Image
enhancement
;
Sparsity learning
;
Random forest regression
;
Groupwise registration
刊名:Pattern Recognition
出版年:2017
3.
Memristive pulse coupled neural network with applications in medical
image
processing
作者:
Song Zhu
a
;
b
Author Vitae
;
Lidan Wang
a
;
b
;
ldwang@swu.edu.cn
Author Vitae
;
Shukai Duan
a
;
b
Author Vitae
关键词:
Medical
image
fusion
;
Memristor
;
Pulse coupled neural network
;
Image
de-noising
;
Image
edge extraction
刊名:Neurocomputing
出版年:2017
4.
A
brain
phantom for motion-corrected PROPELLER showing
image
contrast and construction similar to those of in vivo MRI
作者:
Kousaku Saotome
a
;
b
;
saotome84@gmail.com
;
Akira Matsushita
a
;
c
;
1
;
2
;
Koji Matsumoto
d
;
3
;
Yoshiaki Kato
e
;
4
;
Kei Nakai
c
;
2
;
Koichi Murata
f
;
5
;
Tetsuya Yamamoto
c
;
2
;
Yoshiyuki Sankai
a
;
g
;
1
;
5
;
Akira Matsumura
c
;
2
关键词:
Propeller
;
Phantom
;
Brain
;
Motion correction
;
3-D prototyping technology
刊名:
Magnetic
Resonance
Imaging
出版年:2017
5.
Glioma detection based on multi-fractal features of segmented
brain
MRI by particle swarm optimization techniques
作者:
Salim Lahmiri
a
;
b
;
salim.lahmiri.1@ens.etsmtl.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Brain
magnetic
resonance
image
;
Glioma
;
Particle swarm optimization
;
Segmentation
;
Spectral distribution
;
Generalized hurst exponents
;
Support vector machines
;
Classification
刊名:Biomedical Signal Processing and Control
出版年:2017
6.
Brain
metabolite alterations in infants born preterm with intrauterine growth restriction: association with structural changes and neurodevelopmental outcome
关键词:
brain
metabolism
;
brain
structure
;
intrauterine growth restriction
;
magnetic
resonance
spectroscopy
;
neurodevelopment
;
preterm birth
刊名:American Journal of Obstetrics and Gynecology
出版年:2017
7.
Conductive nanogel-interfaced neural microelectrode arrays with electrically controlled in-situ delivery of manganese ions enabling high-resolution MEMRI for synchronous neural tracing with deep
brain
stimulation
作者:
Wei-Chen Huang
a
;
Yu-Chih Lo
b
;
Chao-Yi Chu
b
;
Hsin-Yi Lai
c
;
You-Yin Chen
d
;
irradiance@so-net.net.tw
;
San-Yuan Chen
b
;
sanyuanchen@mail.nctu.edu.tw
关键词:
Neural interface
;
MEMRI
;
Deep
brain
stimulation
;
Controlled delivery
;
Nanogel
刊名:Biomaterials
出版年:2017
8.
Beef assessments using functional
magnetic
resonance
imaging and sensory evaluation
作者:
W.N. Tapp
a
;
nathan.tapp@ttu.edu
;
T.H. Davis
b
;
D. Paniukov
b
;
J.C. Brooks
a
;
M.M. Brashears
a
;
M.F. Miller
a
关键词:
Functional
magnetic
resonance
imaging
;
Quality
;
Neuroimaging
;
Taste
;
Beef
;
Steak
刊名:Meat Science
出版年:2017
9.
Ultrasonography Monitoring with Superb Microvascular Imaging Technique in
Brain
Tumor Surgery
作者:
Mami Ishikawa
1
;
2
;
m.ishikawa@edogawa.or.jp
;
Yasushi Ota
3
;
Mutsumi Nagai
4
;
Gen Kusaka
2
;
Yuichi Tanaka
2
;
Heiji Naritaka
1
关键词:
Intraoperative monitoring
;
Microvascular imaging
;
Tumor vessels
;
Ultrasonography
刊名:World Neurosurgery
出版年:2017
10.
Localized active contour model with background intensity compensation applied on automatic MR
brain
tumor segmentation
作者:
Elisee Ilunga-Mbuyamba
a
;
e.ilungambuyamba@ugto.mx
Author Vitae
;
Juan Gabriel Avina&ndash
;
Cervantes
a
;
avina@ugto.mx
Author Vitae
;
Arturo Garcia&ndash
;
Perez
a
;
arturo@ugto.mx
Author Vitae
;
Rene de Jesus Romero&ndash
;
Troncoso
a
;
troncoso@ugto.mx
Author Vitae
;
Hugo Aguirre&ndash
;
Ramos
a
;
h.aguirreramos@ugto.mx
Author Vitae
;
Ivan Cruz&ndash
;
Aceves
b
;
ivan.cruz@cimat.mx
Author Vitae
;
Claire Chalopin
c
;
claire.chalopin@medizin.uni-leipzig.de
Author Vitae
关键词:
00-01
;
99-00
刊名:Neurocomputing
出版年:2017
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