A fully Bayesian two-stage model for detecting brain activity in fMRI

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

Volumn 4345 LNBI, Issue , 2006, Pages 334-345

  Quirós, Alicia ^a   Diez, Raquel Montes ^a   Hernández, Juan A ^a  

^a UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BRAIN; IMAGE ACQUISITION; MARKOV PROCESSES; MONTE CARLO METHODS; NEUROLOGY; NONINVASIVE MEDICAL PROCEDURES;

BLOOD MAGNETISM; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); HAEMODYNAMIC; STIMULATION PARADIGM;

MAGNETIC RESONANCE IMAGING;

EID: 34547445152     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/11946465_30     Document Type: Conference Paper

References (13)

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