Graphical models and deformable diffeomorphic population registration using global and local metrics

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 672-679

  Sotiras, Aristeidis ^a,b   Komodakis, Nikos ^c   Glocker, Ben ^a,d   Deux, Jean François ^e   Paragios, Nikos ^a,b  

^a ECOLE CENTRALE PARIS   (France)

^b INRIA SACLAY   (France)

^c UNIVERSITY OF CRETE   (Greece)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^e HENRI MONDOR HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; LINEAR PROGRAMMING; MEDICAL COMPUTING; MEDICAL IMAGING; SPEECH RECOGNITION; STRUCTURAL FRAMES;

DEFORMATION FIELD; DIFFEOMORPHIC; DIFFEOMORPHISMS; GRAPHICAL MODEL; GRID-BASED; PIXEL LEVEL; SUBOPTIMAL SOLUTION; THREE-TERM;

DEFORMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKELETAL MUSCLE; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79960496763     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_83     Document Type: Conference Paper

References (11)

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