Spatio-temporal Identification of Hemodynamics in fMRI: A data-driven approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3150, Issue , 2004, Pages 213-220

  Yan, Lirong ^a   Hu, Dewen ^b   Zhou, Zongtan ^a   Liu, Yadong ^b  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TIME SERIES;

BLOCK-DESIGN PARADIGMS; CEREBRAL HEMODYNAMICS; DATA-DRIVEN APPROACH; DATA-DRIVEN METHODS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMIC RESPONSE FUNCTIONS; NON-LINEAR LEAST SQUARES; TEMPORAL CHARACTERISTICS;

FUNCTIONAL NEUROIMAGING;

EID: 35048893532     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28626-4_26     Document Type: Article

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