Bayesian approach for network modeling of brain structural features

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7626, Issue , 2010, Pages

  Joshi, Anand A ^a   Joshi, Shantanu H ^a   Leahy, Richard M ^b   Shattuck, David W ^a   Dinov, Ivo ^a   Toga, Arthur W ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Bayesian Networks; Cortical features; Structural equation modeling; Structure learning

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN MODEL; BAYESIAN NETWORK MODELS; BRAIN CONNECTIVITY; BRAIN FUNCTIONS; CORTICAL AREAS; CORTICAL FEATURES; CORTICAL SURFACES; DEPENDENCY GRAPHS; JOINT DISTRIBUTIONS; NETWORK MODELING; SEM; STATISTICAL CORRELATION; STRUCTURAL EQUATION MODELING; STRUCTURAL FEATURE; SYNAPTIC CONNECTIONS;

DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; KNOWLEDGE BASED SYSTEMS; MEDICAL IMAGING; POPULATION STATISTICS; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

EID: 77953319665     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844548     Document Type: Conference Paper

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