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Volumn 4, Issue , 2014, Pages 718-729

Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression

Author keywords

Alzheimer's disease; Brain imaging; Coefficient map; Deformation model; Disease progression; Karcher mean; LDDMM; Logistic regression; Spatial regularization; Transport

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; COMPARATIVE STUDY; DISEASE COURSE; FOLLOW UP; HIPPOCAMPUS; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; BIOLOGICAL MODEL; FACTUAL DATABASE; IMAGE PROCESSING; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

EID: 84899674515     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.02.002     Document Type: Article
Times cited : (26)

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