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Volumn 5, Issue 7, 2009, Pages 1857-1866

Contrast enhancement of mr brain images by canonical correlations based kernel independent component analysis

Author keywords

Brain matter; Image processing; Independet component analysis (ICA); Kernel independet component analysis (Kernel ICA); Magnetic resonance imaging (MRI)

Indexed keywords

BRAIN IMAGES; CANONICAL CORRELATIONS; CONTRAST ENHANCEMENT; DATA SETS; INDEPENDET COMPONENT ANALYSIS (ICA); KERNEL INDEPENDENT COMPONENT ANALYSIS; KERNEL INDEPENDET COMPONENT ANALYSIS (KERNEL ICA); LINEAR METHODS; MR IMAGES; MR SIGNALS; NON-LINEAR VARIATION;

EID: 67749095764     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (10)
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    • Application of independent component analysis to magnetic resonance imaging for enhancing the contrast of gray matter and white matter
    • T. Nakai, S. Muraki, E. Bararinao, Y. Miki, Y. Takehara, K. Matsuo, C. Kato, H. Sakabara, and H. Isoda, Application of independent component analysis to magnetic resonance imaging for enhancing the contrast of gray matter and white matter, NeuroImage, vol.21, pp.251-260, 2003.
    • (2003) NeuroImage , vol.21 , pp. 251-260
    • Nakai, T.1    Muraki, S.2    Bararinao, E.3    Miki, Y.4    Takehara, Y.5    Matsuo, K.6    Kato, C.7    Sakabara, H.8    Isoda, H.9
  • 2
    • 33750694207 scopus 로고    scopus 로고
    • Y.-W. Chen and D. Sugiki, Segmentation of MR images using independent component analysis, Lecture Notes in Artificial Intelligence, Springer, LNAI, no.4252, pp.63-69, 2006.
    • Y.-W. Chen and D. Sugiki, Segmentation of MR images using independent component analysis, Lecture Notes in Artificial Intelligence, Springer, LNAI, no.4252, pp.63-69, 2006.
  • 4
    • 34147178917 scopus 로고    scopus 로고
    • Separating reflections from images using kernel independent component analysis
    • M. Yamazaki, Y.-W. Chen, and G. Xu, Separating reflections from images using kernel independent component analysis, Proc. of the ICPR2006, vol.3, pp.194-197, 2006.
    • (2006) Proc. of the ICPR2006 , vol.3 , pp. 194-197
    • Yamazaki, M.1    Chen, Y.-W.2    Xu, G.3
  • 5
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • A. J. Bell and T. J. Sejnowski, An information maximization approach to blind separation and blind deconvolution, Neural Computation, vol.7, pp.1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
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    • Independent component analysis (1) cocktail party effect
    • in Japanease
    • Y.-W. Chen, Independent component analysis (1) cocktail party effect, Medical Imaging Technology, vol.21, pp.81-85, 2003 (in Japanease).
    • (2003) Medical Imaging Technology , vol.21 , pp. 81-85
    • Chen, Y.-W.1
  • 7
    • 10044224901 scopus 로고    scopus 로고
    • Texture classification using kernel independent component analysis
    • J. Cheng, Q. Liu, H. Lu, and Y.-W. Chen, Texture classification using kernel independent component analysis, Proc. of the ICPR2004, vol.1, pp.620-623, 2004.
    • (2004) Proc. of the ICPR2004 , vol.1 , pp. 620-623
    • Cheng, J.1    Liu, Q.2    Lu, H.3    Chen, Y.-W.4
  • 9
    • 67749136088 scopus 로고    scopus 로고
    • KICA for face recognition based on kernel generalized variance and multiresolution analysis
    • Information and Control
    • G.-Y. An and Q. Q. Ruan, KICA for face recognition based on kernel generalized variance and multiresolution analysis, Proc. of the First International Conference on Innovative Computing, Information and Control, vol.2, pp.84-87, 2006.
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    • An, G.-Y.1    Ruan, Q.Q.2
  • 10
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    • A comparison between Fast ICA and Kernel ICA in remote sensing imagery classification
    • H. He, X. Yu and W. Peng, A comparison between Fast ICA and Kernel ICA in remote sensing imagery classification, Proc. of the IGARSS '05, vol.3, pp.1658-1661, 2005.
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    • He, H.1    Yu, X.2    Peng, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.