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Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
◽
10.1007/978-3-319-75541-0_11
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2018
◽
pp. 101-110
◽
Cited By ~ 8
Author(s):
Jelmer M. Wolterink
◽
Tim Leiner
◽
Max A. Viergever
◽
Ivana Išgum
Keyword(s):
Automatic Segmentation
◽
Disease Classification
◽
Mr Images
◽
Cine Mr
◽
Cardiac Cine
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Automatic segmentation of right ventricle in cardiac cine MR images using a saliency analysis
Medical Physics
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10.1118/1.4966133
◽
2016
◽
Vol 43
(12)
◽
pp. 6270-6281
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Author(s):
Angélica Atehortúa
◽
Maria A. Zuluaga
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A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images
Computerized Medical Imaging and Graphics
◽
10.1016/j.compmedimag.2020.101717
◽
2020
◽
Vol 81
◽
pp. 101717
◽
Cited By ~ 1
Author(s):
Hisham Abdeltawab
◽
Fahmi Khalifa
◽
Fatma Taher
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Norah Saleh Alghamdi
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Mohammed Ghazal
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Left Ventricle
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Automatic Segmentation
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Mr Images
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Cine Mr
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An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images
International Journal of Computer Assisted Radiology and Surgery
◽
10.1007/s11548-016-1429-9
◽
2016
◽
Vol 11
(11)
◽
pp. 1951-1964
◽
Cited By ~ 8
Author(s):
Yurun Ma
◽
Li Wang
◽
Yide Ma
◽
Min Dong
◽
Shiqiang Du
◽
...
Keyword(s):
Left Ventricle
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Automatic Segmentation
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Mr Images
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Cine Mr
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Cardiac Cine
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Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images
Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
◽
10.1007/978-3-319-75541-0_3
◽
2018
◽
pp. 21-31
◽
Cited By ~ 1
Author(s):
Antong Chen
◽
Tian Zhou
◽
Ilknur Icke
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Sarayu Parimal
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Belma Dogdas
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...
Keyword(s):
Left Ventricle
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Transfer Learning
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Automatic Segmentation
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Cine Mr
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Fully Automatic
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Left Ventricle Myocardium
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Automatic localization of the left ventricular blood pool centroid in short axis cardiac cine MR images
Medical & Biological Engineering & Computing
◽
10.1007/s11517-017-1750-7
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2017
◽
Vol 56
(6)
◽
pp. 1053-1062
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Cited By ~ 1
Author(s):
Li Kuo Tan
◽
Yih Miin Liew
◽
Einly Lim
◽
Yang Faridah Abdul Aziz
◽
Kok Han Chee
◽
...
Keyword(s):
Blood Pool
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Left Ventricular
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Short Axis
◽
Mr Images
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Cine Mr
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Cardiac Cine
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Automatic Localization
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Normal signal-void patterns in cardiac cine MR images.
Radiology
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10.1148/radiology.176.1.2353109
◽
1990
◽
Vol 176
(1)
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pp. 49-55
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Cited By ~ 14
Author(s):
S A Mirowitz
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J K Lee
◽
F R Gutierrez
◽
J J Brown
◽
S S Eilenberg
Keyword(s):
Mr Images
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Cine Mr
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Signal Void
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Reconstruction of Cardiac Cine MR Images from Partial k-Space
SRX Physics
◽
10.3814/2010/850392
◽
2010
◽
Vol 2010
◽
pp. 1-6
Author(s):
Josiane Yankam Njiwa
◽
Yuemin Zhu
◽
Jianhua Luo
◽
Bassem Hiba
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Segmentation of cardiac cine MR images of left and right ventricles: Interactive semiautomated methods and manual contouring by two readers with different education and experience
Journal of Magnetic Resonance Imaging
◽
10.1002/jmri.21292
◽
2008
◽
Vol 27
(4)
◽
pp. 785-792
◽
Cited By ~ 30
Author(s):
Francesco Sardanelli
◽
Matteo Quarenghi
◽
Giovanni Di Leo
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Leonardo Boccaccini
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Angelo Schiavi
Keyword(s):
Mr Images
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Cine Mr
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Fully automatic, retrospective enhancement of real-time acquired cardiac cine MR images using image-based navigators and respiratory motion-corrected averaging
Magnetic Resonance in Medicine
◽
10.1002/mrm.21509
◽
2008
◽
Vol 59
(4)
◽
pp. 771-778
◽
Cited By ~ 53
Author(s):
Peter Kellman
◽
Christophe Chefd'hotel
◽
Christine H. Lorenz
◽
Christine Mancini
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Andrew E. Arai
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Keyword(s):
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◽
Respiratory Motion
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Mr Images
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Cine Mr
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Cardiac Cine
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Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 - Lecture Notes in Computer Science
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10.1007/978-3-642-04271-3_110
◽
2009
◽
pp. 910-918
◽
Cited By ~ 13
Author(s):
Marie-Pierre Jolly
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Leo Grady
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Jens Guehring
Keyword(s):
Left Ventricle
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Mr Images
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Cine Mr
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Cardiac Cine
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