Spatially-varying metric learning for diffeomorphic image registration: A variational framework

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

Volumn 8673 LNCS, Issue PART 1, 2014, Pages 227-234

  Vialard, François Xavier ^a   Risser, Laurent ^b  

^a UNIVERSITÉ PARIS DAUPHINE   (France)

^b INSTITUT DE MATHÉMATIQUES DE TOULOUSE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MAPPING; DEFORMATION; MEDICAL COMPUTING;

3D MEDICAL IMAGE; DIFFEOMORPHIC IMAGE REGISTRATIONS; GRADIENT DESCENT METHOD; LARGE DEFORMATION DIFFEOMORPHIC METRIC MAPPINGS; LOCAL DEFORMATIONS; METRIC LEARNING; METRIC PARAMETER; VARIATIONAL FRAMEWORK;

DEFORMATION; MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84909635996     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10404-1_29     Document Type: Conference Paper

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