Tools for multiple granularity analysis of brain MRI data for individualized image analysis

NeuroImage

Volumn 101, Issue , 2014, Pages 168-176

  Djamanakova, Aigerim ^a   Tang, Xiaoying ^a   Li, Xin ^a   Faria, Andreia V ^a   Ceritoglu, Can ^b   Oishi, Kenichi ^a   Hillis, Argye E ^a   Albert, Marilyn ^a,c   Lyketsos, Constantine ^c   Miller, Michael I ^a,b   Mori, Susumu ^a  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Johns Hopkins University   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ALZHEIMER DISEASE; ANATOMICAL VARIATION; ARTICLE; AUTOMATED BRAIN PARCELLATION; AUTOMATION; BRAIN CORTEX; CONTROLLED STUDY; CORTICAL AMYGDALA; DIENCEPHALON; DIFFEOMORPHIC PROBABILITY FUSION; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INFORMATION PROCESSING; LATERAL BRAIN VENTRICLE; LEFT HEMISPHERE; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REPRODUCIBILITY; TELENCEPHALON; TEST RETEST REPRODUCIBILITY; WHITE MATTER; YOUNG ADULT; AGING; ANATOMY AND HISTOLOGY; BRAIN; COMPUTER ASSISTED DIAGNOSIS; MIDDLE AGED; PATHOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; STANDARDS; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; AGING; ALZHEIMER DISEASE; BRAIN; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84904724125     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.06.046     Document Type: Article

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