HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework

NeuroImage

Volumn 145, Issue , 2017, Pages 346-364

  Varol, Erdem ^a   Sotiras, Aristeidis ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

ADNI; Aging; Alzheimer's disease; Clustering; Convex polytope; Genetics; Heterogeneity; Max margin classification; MRI; Multivariate; Neuroimaging; Semi supervised pattern analysis; SVM

Indexed keywords

APOLIPOPROTEIN E4;

AGED; ALZHEIMER DISEASE; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN ATROPHY; CD2AP GENE; CONTROLLED STUDY; FEMALE; GENE; GENETIC ASSOCIATION; GENETIC HETEROGENEITY; GENOTYPE; HETEROGENEITY THROUGH DISCRIMINATIVE ANALYSIS; HIPPOCAMPUS; HUMAN; IMAGE ANALYSIS; LEARNING ALGORITHM; LOC39095 GENE; MAJOR CLINICAL STUDY; MALE; MEDIAL TEMPORAL LOBE; MOLECULAR PATHOLOGY; NEUROANATOMY; NEUROIMAGING; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PREFRONTAL CORTEX; PRIORITY JOURNAL; REPRODUCIBILITY; SINGLE NUCLEOTIDE POLYMORPHISM; SPON1 GENE; TEMPORAL LOBE; VALIDATION PROCESS; ATROPHY; BRAIN; CLUSTER ANALYSIS; DIAGNOSTIC IMAGING; GENETICS; PATHOLOGY; PROCEDURES; SUPPORT VECTOR MACHINE; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ATROPHY; BRAIN; CLUSTER ANALYSIS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINE;

EID: 84977098169     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.02.041     Document Type: Article

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