Discriminative sparse connectivity patterns for classification of fMRI data

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

Volumn 8675 LNCS, Issue PART 3, 2014, Pages 193-200

  Eavani, Harini ^a   Satterthwaite, Theodore D ^a   Gur, Raquel E ^a   Gur, Ruben C ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

BRAIN DEVELOPMENT; CLASSIFICATION APPROACH; CONNECTIVITY PATTERN; FUNCTIONAL CONNECTIVITY; FUNCTIONAL NETWORK; GROUP DIFFERENCES; LONG-RANGE CONNECTIVITIES; RESTING-STATE FMRI;

SUPPORT VECTOR MACHINES;

ADOLESCENT; AGING; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; CHILD; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADOLESCENT; AGING; ARTIFICIAL INTELLIGENCE; BRAIN; CHILD; CONNECTOME; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84906972058     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10443-0_25     Document Type: Conference Paper

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