메뉴 건너뛰기




Volumn 14, Issue 1 I, 2001, Pages 206-218

Pitfalls in the clustering of neuroimage data and improvements by global optimization strategies

Author keywords

Clustering; Functional MRI; Global optimization; Neuroimaging; Vector quantization

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; BRAIN REGION; BRAIN SIZE; CLUSTER ANALYSIS; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; NERVE CONDUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY; SIMULATION; TASK PERFORMANCE;

EID: 0034976957     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.2001.0792     Document Type: Article
Times cited : (4)

References (33)
  • 21
    • 0032898970 scopus 로고    scopus 로고
    • Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivity
    • (1999) Magn. Reson. Med. , vol.41 , pp. 939-946
    • Ngan, S.-C.1    Hu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.