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Volumn 136, Issue , 2016, Pages 1-9

Prediction of brain maturity in infants using machine-learning algorithms

Author keywords

Developmental neuroimaging; Functional MRI; Infant; Multivariate pattern analysis; Prematurity

Indexed keywords

ALGORITHM; ARTICLE; BRAIN MATURATION; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GESTATIONAL AGE; HUMAN; INFANT; INTERHEMISPHERIC TRANSFER; MACHINE LEARNING; MALE; NEUROIMAGING; PREDICTIVE VALUE; PREMATURITY; PRIORITY JOURNAL; RESTING STATE NETWORK; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; GROWTH, DEVELOPMENT AND AGING; IMAGE ENHANCEMENT; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; PROGNOSIS; REGRESSION ANALYSIS; REPRODUCIBILITY;

EID: 84969498387     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.05.029     Document Type: Article
Times cited : (115)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.