Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis

NeuroImage

Volumn 74, Issue , 2013, Pages 209-230

  Wang, Yalin ^a   Yuan, Lei ^a   Shi, Jie ^a   Greve, Alexander ^b   Ye, Jieping ^a   Toga, Arthur W ^b   Reiss, Allan L ^c   Thompson, Paul M ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Sparse learning; Stability selection; Surface conformal parameterization; Surface registration; Tensor based morphometry

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; ALGORITHM; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; CHILD; CLASSIFICATION; CLASSIFIER; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; EFFECT SIZE; FEMALE; HUMAN; MACHINE LEARNING; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SCHOOL CHILD; SPARSE LEARNING; TENSOR BASED MORPHOMETRY; WILLIAMS BEUREN SYNDROME;

BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; WILLIAMS SYNDROME;

EID: 84874985641     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.02.011     Document Type: Article

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