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Volumn , Issue , 2007, Pages 776-779

Multivariate hypothesis testing of DTI data for tissue clustering

Author keywords

Clustering; Diffusion tensor; DTI; Hypothesis testing; Parsimonious

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA REDUCTION; IMAGE ANALYSIS;

EID: 35648997665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356967     Document Type: Conference Paper
Times cited : (3)

References (9)
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    • Aunifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging
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    • C.G. Koay, L.C. Chang, J.D. Carew, C. Pierpaoli, and P.J. Basser, "Aunifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging.," J Magn Reson, vol. 182, pp. 115-125, Jul 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.