From brain connectivity models to identifying foci of a neurological disorder

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

Volumn 7510 LNCS, Issue , 2012, Pages 715-722

  Venkataraman, Archana ^a   Kubicki, Marek ^b   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; NEUROLOGY;

BRAIN CONNECTIVITY; FUNCTIONAL CONNECTIVITY; GENERATIVE MODEL; NEUROLOGICAL DISORDERS; POPULATION STUDIES; VARIATIONAL EM ALGORITHMS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; CASE CONTROL STUDY; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; NERVE CELL NETWORK; NERVE TRACT; NEUROLOGIC DISEASE; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; PROBABILITY; SCHIZOPHRENIA;

ALGORITHMS; BRAIN; BRAIN MAPPING; CASE-CONTROL STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; NERVOUS SYSTEM DISEASES; NEURAL PATHWAYS; NORMAL DISTRIBUTION; PROBABILITY; SCHIZOPHRENIA; SOFTWARE;

MLCS; MLOWN;

EID: 84872584750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_88     Document Type: Conference Paper

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