Persistence diagrams of cortical surface data

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

Volumn 5636 LNCS, Issue , 2009, Pages 386-397

  Chung, Moo K ^a,b   Bubenik, Peter ^c   Kim, Peter T ^d  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c CLEVELAND STATE UNIVERSITY   (United States)

^d UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL ALGEBRAIC TOPOLOGY; CONNECTED COMPONENT; CONTROL GROUPS; CORTICAL SURFACES; CORTICAL THICKNESS; CRITICAL VALUE; IMAGING DATA; MULTIVARIATE DATA; PERSISTENT HOMOLOGY; SIGNAL CHANGES; SIMULATED SIGNALS; STATISTICAL PARAMETRIC MAPPING; SUBLEVEL SET;

DATA PROCESSING; DATA REDUCTION; GRAPHIC METHODS; TOPOLOGY; TWO DIMENSIONAL;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTISM; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; AUTISTIC DISORDER; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349315259     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_32     Document Type: Conference Paper

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