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Volumn 2879, Issue PART 2, 2003, Pages 83-91

Feature detection in fMRI data: The information bottleneck approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIFURCATION (MATHEMATICS); INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; MATRIX ALGEBRA; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING; SET THEORY; VECTOR QUANTIZATION; INFORMATION THEORY; MEDICAL COMPUTING; MEDICAL IMAGING; VECTOR SPACES;

EID: 0344823997     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_11     Document Type: Conference Paper
Times cited : (10)

References (12)
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    • Cluster analysis of activity-time series in motor learning
    • Daniela Balslev, Finn A. Nielsen, et al. Cluster analysis of activity-time series in motor learning. Human Brain Mapping, 15:135-145, 2002.
    • (2002) Human Brain Mapping , vol.15 , pp. 135-145
    • Balslev, D.1    Nielsen, F.A.2
  • 2
    • 0032005769 scopus 로고    scopus 로고
    • Quantification in functional magnetic resonance imaging: Fuzzy clustering vs correlation analysis
    • R. Baumgartner, C. Windischberger, and E. Moser. Quantification in functional Magnetic Resonance Imaging: fuzzy clustering vs correlation analysis. Magnetic Resonance Imaging, 16(2):115-125, 1998.
    • (1998) Magnetic Resonance Imaging , vol.16 , Issue.2 , pp. 115-125
    • Baumgartner, R.1    Windischberger, C.2    Moser, E.3
  • 4
    • 0033855255 scopus 로고    scopus 로고
    • A multistep unsupervised fuzzy clustering analysis of fMRI time series
    • M.J. Fadili, S. Ruan, D. Bloyet, and B. Mazoyer. A multistep unsupervised fuzzy clustering analysis of fMRI time series. Human Brain Mapping, 10:160-178, 2000.
    • (2000) Human Brain Mapping , vol.10 , pp. 160-178
    • Fadili, M.J.1    Ruan, S.2    Bloyet, D.3    Mazoyer, B.4
  • 5
    • 0035296809 scopus 로고    scopus 로고
    • On the number of clusters and the fuzziness index for unsupervised fca applications to bold fMRI time series
    • M.J. Fadili, S. Ruan, D. Bloyet, and B. Mazoyer. On the number of clusters and the fuzziness index for unsupervised fca applications to bold fMRI time series. Medical Image Analysis, 5:55-67, 2001.
    • (2001) Medical Image Analysis , vol.5 , pp. 55-67
    • Fadili, M.J.1    Ruan, S.2    Bloyet, D.3    Mazoyer, B.4
  • 6
    • 0008073378 scopus 로고    scopus 로고
    • Wellcome Department of Cognitive Neurology, University College london
    • K.J. Friston, J. Ashburner, et al. SPM 97 course notes. Wellcome Department of Cognitive Neurology, University College london, 1997.
    • (1997) SPM 97 Course Notes
    • Friston, K.J.1    Ashburner, J.2
  • 9
    • 0036743232 scopus 로고    scopus 로고
    • How to avoid spurious cluster validation ? A methodological investigation on simulated and fMRI data
    • U. Möller, M. Ligges, P. Georgiewa, C. Grünling, W. A. Kaiser, H. Witte, and B. Blanz. How to avoid spurious cluster validation ? A methodological investigation on simulated and fMRI data. NeuroImage, 17:431-446, 2002.
    • (2002) NeuroImage , vol.17 , pp. 431-446
    • Möller, U.1    Ligges, M.2    Georgiewa, P.3    Grünling, C.4    Kaiser, W.A.5    Witte, H.6    Blanz, B.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.