Characterizing pathological deviations from normality using constrained manifold-learning

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 256-263

  Duchateau, Nicolas ^a   De Craene, Mathieu ^a   Piella, Gemma ^a   Frangi, Alejandro F ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIAC RESYNCHRONIZATION; DYSSYNCHRONY; HEALTHY POPULATION; LOCAL MOTIONS; MOTION PATTERN; NONLINEAR TECHNIQUES;

COMPUTER AIDED INSTRUCTION; MEDICAL IMAGING; POPULATION STATISTICS; TIME AND MOTION STUDY;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CARDIAC RESYNCHRONIZATION THERAPY; CARDIOLOGY; HEART FAILURE; HUMAN; IMAGE PROCESSING; METHODOLOGY; MOTION; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARDIAC RESYNCHRONIZATION THERAPY; CARDIOLOGY; HEART FAILURE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; MOTION; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 82255181713     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_32     Document Type: Conference Paper

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