메뉴 건너뛰기




Volumn 9, Issue 5, 1999, Pages 534-544

Generalizable patterns in neuroimaging: How many principal components?

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEM; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

EID: 0032780031     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.1998.0425     Document Type: Article
Times cited : (140)

References (30)
  • 1
    • 84942737910 scopus 로고
    • Fitting autoregressive models for prediction
    • Akaike H. Fitting autoregressive models for prediction. Ann. Inst. Stat. Mat. 21:1969;243-247.
    • (1969) Ann. Inst. Stat. Mat. , vol.21 , pp. 243-247
    • Akaike, H.1
  • 5
    • 0003242437 scopus 로고
    • The jackknife, bootstrap and other resampling plans
    • CBMS-NSF, Philadelphia
    • Efron, B. 1983, The jackknife, bootstrap and other resampling plans. SIAM Monogr. 38, CBMS-NSF, Philadelphia.
    • (1983) SIAM Monogr. , vol.38
    • Efron, B.1
  • 8
    • 0029029430 scopus 로고
    • Characterizing dynamic brain responses with fMRI: A multivariate approach
    • Friston K. J., Frith C. D., Frackowiak R. S. J., Turner R. Characterizing dynamic brain responses with fMRI: A multivariate approach. NeuroImage. 2:1995;166-172.
    • (1995) NeuroImage , vol.2 , pp. 166-172
    • Friston, K.J.1    Frith, C.D.2    Frackowiak, R.S.J.3    Turner, R.4
  • 15
    • 0030032744 scopus 로고    scopus 로고
    • Non-parametric analysis of statistic images from functional mapping experiments
    • Holmes A. P., Blair R. C., Watson J. D. G., Ford I. Non-parametric analysis of statistic images from functional mapping experiments. J. Cereb. Blood Flow Metab. 16:1996;7-22.
    • (1996) J. Cereb. Blood Flow Metab. , vol.16 , pp. 7-22
    • Holmes, A.P.1    Blair, R.C.2    Watson, J.D.G.3    Ford, I.4
  • 17
    • 0029217844 scopus 로고
    • Empirical generalization assessment of neural network models
    • F. GirosiJ. MakhoulE. ManolakosE. Wilson, 39, Piscataway, NJ
    • Larsen, J. Hansen, L. K. 1995, Empirical generalization assessment of neural network models, Proceedings of the IEEE Workshop on Neural Networks for Signal Processing V, F. GirosiJ. MakhoulE. ManolakosE. Wilson, 30, 39, Piscataway, NJ.
    • (1995) Proceedings of the IEEE Workshop on Neural Networks for Signal Processing , vol.5 , pp. 30
    • Larsen, J.1    Hansen, L.K.2
  • 18
    • 0031274657 scopus 로고    scopus 로고
    • Generalization: The hidden agenda of learning
    • J.-N. HwangS. Y. KungM. NiranjanJ. C. Principe, IEEE Signal Processing Magazine, November, 45
    • Larsen, J. Hansen, L. K. 1997, Generalization: The hidden agenda of learning, The Past, Present, and Future of Neural Networks for Signal Processing, J.-N. HwangS. Y. KungM. NiranjanJ. C. Principe, IEEE Signal Processing Magazine, November, 43, 45.
    • (1997) The Past, Present, and Future of Neural Networks for Signal Processing , pp. 43
    • Larsen, J.1    Hansen, L.K.2
  • 21
    • 0025969753 scopus 로고
    • A regional covariance approach to the analysis of functional patterns in positron emission tomographic data
    • Moeller J. R., Strother S. C. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data. J. Cereb. Blood Flow Metab. 11:1991;A121-A135.
    • (1991) J. Cereb. Blood Flow Metab. , vol.11
    • Moeller, J.R.1    Strother, S.C.2
  • 23
    • 0002399288 scopus 로고
    • Neural networks, principal components, and subspaces
    • Oja E. Neural networks, principal components, and subspaces. Int. J. Neural Syst. 1:1989;61-68.
    • (1989) Int. J. Neural Syst. , vol.1 , pp. 61-68
    • Oja, E.1
  • 24
    • 0000629975 scopus 로고
    • Cross-validatory choice and assessment of statistical predictors
    • Stone M. Cross-validatory choice and assessment of statistical predictors. J. R. Stat. Soc. B. 36:1974;111-147.
    • (1974) J. R. Stat. Soc. B , vol.36 , pp. 111-147
    • Stone, M.1
  • 27
    • 84943236576 scopus 로고
    • On design and evaluation of tapped-delay neural network architectures
    • H. R. Berenjiet al., 51, IEEE Service Center, Piscataway, NJ
    • Svarer, C. Hansen, L. K. Larsen, J. 1993, On design and evaluation of tapped-delay neural network architectures, Proceedings of the 1993 IEEE International Conference on Neural Networks, H. R. Berenjiet al., 1, 46, 51, IEEE Service Center, Piscataway, NJ.
    • (1993) Proceedings of the 1993 IEEE International Conference on Neural Networks , vol.1 , pp. 46
    • Svarer, C.1    Hansen, L.K.2    Larsen, J.3
  • 28
    • 0016082639 scopus 로고
    • Bibliography on estimation of misclassification
    • Toussaint G. T. Bibliography on estimation of misclassification. IEEE Trans. Inf. Theor. 20:1974;472-479.
    • (1974) IEEE Trans. Inf. Theor. , vol.20 , pp. 472-479
    • Toussaint, G.T.1
  • 30
    • 0031279853 scopus 로고    scopus 로고
    • Characterizing the response of PET and fMRI data using multivariate linear models (MLM)
    • Worsley K. J., Poline J.-B., Friston K. J., Evans A. C. Characterizing the response of PET and fMRI data using multivariate linear models (MLM). NeuroImage. 6:1997;305-319.
    • (1997) NeuroImage , vol.6 , pp. 305-319
    • Worsley, K.J.1    Poline, J.-B.2    Friston, K.J.3    Evans, A.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.