149 related articles for article (PubMed ID: 20189353)
1. Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine.
Yamamoto D; Arimura H; Kakeda S; Magome T; Yamashita Y; Toyofuku F; Ohki M; Higashida Y; Korogi Y
Comput Med Imaging Graph; 2010 Jul; 34(5):404-13. PubMed ID: 20189353
[TBL] [Abstract][Full Text] [Related]
2. Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging.
Kawata Y; Arimura H; Yamashita Y; Magome T; Ohki M; Toyofuku F; Higashida Y; Tsuchiya K
Comput Med Imaging Graph; 2010 Jul; 34(5):370-6. PubMed ID: 20116974
[TBL] [Abstract][Full Text] [Related]
3. A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images.
Khayati R; Vafadust M; Towhidkhah F; Nabavi SM
Comput Med Imaging Graph; 2008 Mar; 32(2):124-33. PubMed ID: 18055174
[TBL] [Abstract][Full Text] [Related]
4. An approach to comparing accuracies of two FLAIR MR sequences in the detection of multiple sclerosis lesions in the brain in the absence of gold standard.
Bilello M; Suri N; Krejza J; Woo JH; Bagley LJ; Mamourian AC; Vossough A; Chen JY; Millian BR; Mulderink T; Markowitz CE; Melhem ER
Acad Radiol; 2010 Jun; 17(6):686-95. PubMed ID: 20457413
[TBL] [Abstract][Full Text] [Related]
5. Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.
Theocharakis P; Glotsos D; Kalatzis I; Kostopoulos S; Georgiadis P; Sifaki K; Tsakouridou K; Malamas M; Delibasis G; Cavouras D; Nikiforidis G
Magn Reson Imaging; 2009 Apr; 27(3):417-22. PubMed ID: 18786795
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided diagnosis scheme for detection of lacunar infarcts on MR images.
Uchiyama Y; Yokoyama R; Ando H; Asano T; Kato H; Yamakawa H; Yamakawa H; Hara T; Iwama T; Hoshi H; Fujita H
Acad Radiol; 2007 Dec; 14(12):1554-61. PubMed ID: 18035284
[TBL] [Abstract][Full Text] [Related]
7. Generation of connectivity-preserving surface models of multiple sclerosis lesions.
Meruvia-Pastor O; Xiao M; Soh J; Sensen CW
Stud Health Technol Inform; 2011; 163():359-65. PubMed ID: 21335819
[TBL] [Abstract][Full Text] [Related]
8. Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields.
Karimaghaloo Z; Shah M; Francis SJ; Arnold DL; Collins DL; Arbel T
IEEE Trans Med Imaging; 2012 Jun; 31(6):1181-94. PubMed ID: 22318484
[TBL] [Abstract][Full Text] [Related]
9. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.
Shah M; Xiao Y; Subbanna N; Francis S; Arnold DL; Collins DL; Arbel T
Med Image Anal; 2011 Apr; 15(2):267-82. PubMed ID: 21233004
[TBL] [Abstract][Full Text] [Related]
10. COMPARE: classification of morphological patterns using adaptive regional elements.
Fan Y; Shen D; Gur RC; Gur RE; Davatzikos C
IEEE Trans Med Imaging; 2007 Jan; 26(1):93-105. PubMed ID: 17243588
[TBL] [Abstract][Full Text] [Related]
11. Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and Markov random field model.
Khayati R; Vafadust M; Towhidkhah F; Nabavi M
Comput Biol Med; 2008 Mar; 38(3):379-90. PubMed ID: 18262511
[TBL] [Abstract][Full Text] [Related]
12. [Non-linear registration of MR brain images integrated with machine learning].
Wu GR; Qi FH
Zhongguo Yi Liao Qi Xie Za Zhi; 2006 Jul; 30(4):268-70. PubMed ID: 17039935
[TBL] [Abstract][Full Text] [Related]
13. Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.
Arimura H; Yoshiura T; Kumazawa S; Tanaka K; Koga H; Mihara F; Honda H; Sakai S; Toyofuku F; Higashida Y
Acad Radiol; 2008 Mar; 15(3):274-84. PubMed ID: 18280925
[TBL] [Abstract][Full Text] [Related]
14. [Segmentation of multiple sclerosis lesions based on Markov random fields model for MR images].
Li B; Chen W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Aug; 26(4):861-5. PubMed ID: 19813627
[TBL] [Abstract][Full Text] [Related]
15. MRI texture analysis in multiple sclerosis: toward a clinical analysis protocol.
Harrison LC; Raunio M; Holli KK; Luukkaala T; Savio S; Elovaara I; Soimakallio S; Eskola HJ; Dastidar P
Acad Radiol; 2010 Jun; 17(6):696-707. PubMed ID: 20457414
[TBL] [Abstract][Full Text] [Related]
16. A statistical parts-based model of anatomical variability.
Toews M; Arbel T
IEEE Trans Med Imaging; 2007 Apr; 26(4):497-508. PubMed ID: 17427737
[TBL] [Abstract][Full Text] [Related]
17. Automatic identification of the reference system based on the fourth ventricular landmarks in T1-weighted MR images.
Fu Y; Gao W; Chen X; Zhu M; Shen W; Wang S
Acad Radiol; 2010 Jan; 17(1):67-74. PubMed ID: 19734061
[TBL] [Abstract][Full Text] [Related]
18. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided detection of ischemic lesions related to subcortical vascular dementia on magnetic resonance images.
Yamashita Y; Arimura H; Tsuchiya K
Acad Radiol; 2008 Aug; 15(8):978-85. PubMed ID: 18620118
[TBL] [Abstract][Full Text] [Related]
20. Regional structural characterization of the brain of schizophrenia patients.
Yushkevich P; Dubb A; Xie Z; Gur R; Gur R; Gee J
Acad Radiol; 2005 Oct; 12(10):1250-61. PubMed ID: 16179202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
