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Volumn , Issue , 2007, Pages 5218-5222
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Application and validation of spatial mixture modelling for the joint detection-estimation of brain activity in fMRI
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Author keywords
[No Author keywords available]
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Indexed keywords
BAYESIAN NETWORKS;
BRAIN;
MATHEMATICAL MODELS;
PARAMETER ESTIMATION;
FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI);
JOINT DETECTION-ESTIMATION;
SPATIAL MIXTURE MODELLING;
WITHIN-SUBJECT ANALYSIS;
MAGNETIC RESONANCE IMAGING;
ALGORITHM;
ARTICLE;
BIOLOGICAL MODEL;
BRAIN;
BRAIN MAPPING;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER SIMULATION;
EVALUATION STUDY;
EVOKED RESPONSE;
HUMAN;
METHODOLOGY;
NUCLEAR MAGNETIC RESONANCE IMAGING;
PHYSIOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
STATISTICAL MODEL;
VALIDATION STUDY;
ALGORITHMS;
BRAIN;
BRAIN MAPPING;
COMPUTER SIMULATION;
EVOKED POTENTIALS;
HUMANS;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
MAGNETIC RESONANCE IMAGING;
MODELS, NEUROLOGICAL;
MODELS, STATISTICAL;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
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EID: 57649235174
PISSN: 05891019
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2007.4353518 Document Type: Conference Paper |
Times cited : (3)
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References (9)
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