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Volumn 2016-June, Issue , 2016, Pages 1291-1294

Product Hidden Markov Models for subject-based dynamic functional connectivity analysis of the resting state brain

Author keywords

Dynamic Bayesian network; Dynamic functional connectivity; Product HMM; Resting state fMRI

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; MEDICAL IMAGING; SPEECH RECOGNITION; TIME VARYING NETWORKS;

EID: 84978395295     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493503     Document Type: Conference Paper
Times cited : (2)

References (8)
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    • Calhoun, V.D.1    Miller, R.2    Pearlson, G.3    Adali, T.4
  • 4
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    • (2014) Cerebral Cortex , vol.24 , Issue.3 , pp. 663-676
    • Allen, E.A.1    Damaraju, E.2    Smplis, E.E.B.3    Eichele, T.4    Calhoun, V.D.5
  • 6
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    • A tutorial on hidden markov models and selected applications in speech recognition
    • L R Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, " in Proceedings of the IEEE, 1989, pp. 257-286.
    • (1989) Proceedings of the IEEE , pp. 257-286
    • Rabiner, L.R.1
  • 8
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    • Towards an automated selection of spontaneous co-activity maps in functional magnetic resonance imaging
    • Mar
    • M Sourty, L Thoraval, D Roquet, J-P Armspach, and J Foucher, "Towards an automated selection of spontaneous co-activity maps in functional magnetic resonance imaging, " in SPIE Medical Imaging, Mar. 2015, p. 94170K.
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    • Sourty, M.1    Thoraval, L.2    Roquet, D.3    Armspach, J.-P.4    Foucher, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.