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Volumn , Issue , 2013, Pages 17-20

Sparsifying transform learning for Compressed Sensing MRI

Author keywords

Compressed Sensing; Magnetic resonance imaging; Sparsifying transform learning

Indexed keywords

CLINICAL USE; COMPRESSIVE SENSING; MR IMAGES; RECONSTRUCTION QUALITY; SPARSIFYING TRANSFORM LEARNING; TRANSFORM DOMAIN; UNDER-SAMPLED; UNDER-SAMPLING;

EID: 84881654671     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556401     Document Type: Conference Paper
Times cited : (68)

References (7)
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  • 2
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    • MR image reconstruction from highly undersampled k-space data by dictionary learning
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    • Ravishankar, S.1    Bresler, Y.2
  • 3
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    • 0-minimization
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    • Trzasko, J.1    Manduca, A.2
  • 4
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    • Analysis versus synthesis in signal priors
    • DOI 10.1088/0266-5611/23/3/007, PII S0266561107384888, 007
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    • Elad, M.1    Milanfar, P.2    Rubinstein, R.3
  • 5
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    • Learning sparsifying transforms
    • S. Ravishankar and Y. Bresler, "Learning sparsifying transforms," IEEE Trans. Signal Process., vol. 61, no. 5, pp. 1072-1086, 2013.
    • (2013) IEEE Trans. Signal Process. , vol.61 , Issue.5 , pp. 1072-1086
    • Ravishankar, S.1    Bresler, Y.2
  • 6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.