A hierarchical geodesic model for diffeomorphic longitudinal shape analysis

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

Volumn 7917 LNCS, Issue , 2013, Pages 560-571

  Singh, Nikhil ^a   Hinkle, Jacob ^a   Joshi, Sarang ^a   Fletcher, P Thomas ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

Diffeomorphisms; Hierarchical Model; Longitudinal

Indexed keywords

DIFFEOMORPHISMS; GROUP OF DIFFEOMORPHISMS; HIERARCHICAL LINEAR MODELS; HIERARCHICAL MODEL; INDIVIDUAL LEVELS; LONGITUDINAL; LONGITUDINAL ANALYSIS; LONGITUDINAL STUDY;

DATA PROCESSING; HIERARCHICAL SYSTEMS; MEDICAL IMAGING;

GEODESY;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ALZHEIMER DISEASE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84901253531     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_47     Document Type: Conference Paper

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