Laplacian eigenmaps manifold learning for landmark localization in brain MR images

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

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 566-573

  Guerrero, Ricardo ^a   Wolz, Robin ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Landmarks; Laplacian Eigenmaps; Manifold Learning

Indexed keywords

ANATOMICAL LANDMARKS; BRAIN MR; LANDMARK LOCALIZATION; LANDMARKS; LAPLACIAN EIGENMAPS; MANIFOLD LEARNING; MEDICAL IMAGES; MORPHOMETRY; MULTIPLE BRAINS; OBSERVER ERRORS; SLIDING WINDOW;

COMPUTER AIDED INSTRUCTION; LAPLACE TRANSFORMS; MEDICAL COMPUTING; THREE DIMENSIONAL;

MEDICAL IMAGING;

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BRAIN; BRAIN MAPPING; DIAGNOSTIC IMAGING; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

AGED; ALGORITHMS; ALZHEIMER DISEASE; BRAIN; BRAIN MAPPING; DATABASES, FACTUAL; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PROBABILITY;

EID: 82255181965     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_69     Document Type: Conference Paper

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