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Volumn 6362 LNCS, Issue PART 2, 2010, Pages 177-184

Brain morphometry by probabilistic latent semantic analysis

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; IMAGE RETRIEVAL; MEDICAL COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78349236565     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_22     Document Type: Conference Paper
Times cited : (19)

References (14)
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    • Voxel-based morphometry versus region of interest: A comparison of two methods for analyzing gray matter differences in schizophrenia
    • DOI 10.1016/j.schres.2004.08.019
    • Giuliani, N.R., Calhouna, V.D., Pearlson, G.D., Francis, A., Buchanan, R.W.: Voxel-based morphometry versus region of interest: a comparison of two methods for analyzing gray matter differences in schizophrenia. Schizophrenia Research 74(2-3), 135-147 (2005) (Pubitemid 40255072)
    • (2005) Schizophrenia Research , vol.74 , Issue.2-3 , pp. 135-147
    • Giuliani, N.R.1    Calhoun, V.D.2    Pearlson, G.D.3    Francis, A.4    Buchanan, R.W.5
  • 4
    • 38149113525 scopus 로고    scopus 로고
    • Global medical shape analysis using the laplace-beltrami spectrum
    • Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. Springer, Heidelberg
    • Niethammer, M., Reuter, M., Wolter, F.E., Bouix, S., Peinecke, N., Koo, M.S., Shenton, M.: Global medical shape analysis using the laplace-beltrami spectrum. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part I. LNCS, vol. 4791, pp. 850-857. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4791 , pp. 850-857
    • Niethammer, M.1    Reuter, M.2    Wolter, F.E.3    Bouix, S.4    Peinecke, N.5    Koo, M.S.6    Shenton, M.7
  • 5
    • 69849109283 scopus 로고    scopus 로고
    • Laplace-Beltrami eigen-values and topological features on eigenfuntions for statistical shape analysis
    • Reuter, M., Wolter, F.E., Shenton, M., Niethammer, M.: Laplace-Beltrami eigen-values and topological features on eigenfuntions for statistical shape analysis. Computed-Aided Design 41(10), 739-755 (2009)
    • (2009) Computed-Aided Design , vol.41 , Issue.10 , pp. 739-755
    • Reuter, M.1    Wolter, F.E.2    Shenton, M.3    Niethammer, M.4
  • 6
    • 84883839158 scopus 로고    scopus 로고
    • Feature-based morphometry
    • Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. Springer, Heidelberg
    • Toews, M., Wells III, W.M., Collins, D.L., Arbel, T.: Feature-based morphometry. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 109-116. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5762 , pp. 109-116
    • Toews, M.1    Wells III, W.M.2    Collins, D.L.3    Arbel, T.4
  • 8
    • 4344667151 scopus 로고    scopus 로고
    • Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
    • Davatzikos, C.: Why voxel-based morphometric analysis should be used with great caution when characterizing group differences. NeuroImage 23(1), 17-20 (2004)
    • (2004) NeuroImage , vol.23 , Issue.1 , pp. 17-20
    • Davatzikos, C.1
  • 9
    • 33846575157 scopus 로고    scopus 로고
    • Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia
    • Yoon, U., Lee, J., Im, K., Shin, W., Cho, B.H., Kim, I., Kwon, J., Kim, S.: Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. NeuroImage 34, 1405-1415 (2007)
    • (2007) NeuroImage , vol.34 , pp. 1405-1415
    • Yoon, U.1    Lee, J.2    Im, K.3    Shin, W.4    Cho, B.H.5    Kim, I.6    Kwon, J.7    Kim, S.8
  • 10
    • 33846264886 scopus 로고    scopus 로고
    • Compare: Classification of morphological patterns using adaptive regional elements
    • Fan, Y., Shen, D., Gur, R.C., Gur, R.E., Davatzikos, C.: Compare: Classification of morphological patterns using adaptive regional elements. IEEE Transactions on Medical Imaging 26(1), 93-105 (2007)
    • (2007) IEEE Transactions on Medical Imaging , vol.26 , Issue.1 , pp. 93-105
    • Fan, Y.1    Shen, D.2    Gur, R.C.3    Gur, R.E.4    Davatzikos, C.5
  • 11
    • 70349313293 scopus 로고    scopus 로고
    • A unified framework for mr based disease classification
    • Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. Springer, Heidelberg
    • Pohl, K.M., Sabuncu, M.R.: A unified framework for mr based disease classification. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 300-313. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5636 , pp. 300-313
    • Pohl, K.M.1    Sabuncu, M.R.2
  • 12
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    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Mach. Learn. 42(1-2), 177-196 (2001)
    • (2001) Mach. Learn. , vol.42 , Issue.1-2 , pp. 177-196
    • Hofmann, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.