Multivariate normalization with symmetric diffeomorphisms for multivariate studies

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 359-366

  Avants, B B ^a   Duda, J T ^a   Zhang, H ^a   Gee, J C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; MULTIVARIABLE CONTROL SYSTEMS; PHYSIOLOGY; STATISTICAL TESTS; TENSORS;

CEREBRAL BLOOD FLOW; MULTIVARIATE STUDIES; SPATIAL NORMALIZATION;

NEUROLOGY;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DEMYELINATING DISEASE; DIFFUSION WEIGHTED IMAGING; DIGEORGE SYNDROME; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MULTIVARIATE ANALYSIS; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DEMYELINATING DISEASES; DIFFUSION MAGNETIC RESONANCE IMAGING; DIGEORGE SYNDROME; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 38149058932     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_44     Document Type: Conference Paper

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