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Volumn , Issue , 2009, Pages 1441-1448

Bayesian experimental design of magnetic resonance imaging sequences

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CLINICAL RESEARCH; COMPUTER VISION; INFERENCE ENGINES; NUMERICAL METHODS; STATISTICS;

EID: 84858776889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (16)
  • 3
    • 0038132749 scopus 로고    scopus 로고
    • A variational method for learning sparse and overcomplete representations
    • DOI 10.1162/089976601753196003
    • M. Girolami. A variational method for learning sparse and overcomplete representations. N. Comp., 13:2517-2532, 2001. (Pubitemid 33594582)
    • (2001) Neural Computation , vol.13 , Issue.11 , pp. 2517-2532
    • Girolami, M.1
  • 6
  • 7
    • 33746803555 scopus 로고
    • Image formation by induced local interactions: Examples employing nuclear magnetic resonance
    • P. Lauterbur. Image formation by induced local interactions: Examples employing nuclear magnetic resonance. Nature, 242:190-191, 1973.
    • (1973) Nature , vol.242 , pp. 190-191
    • Lauterbur, P.1
  • 8
    • 36849088522 scopus 로고    scopus 로고
    • Sparse MRI: The application of compressed sensing for rapid MR imaging
    • DOI 10.1002/mrm.21391
    • M. Lustig, D. Donoho, and J. Pauly. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn. Reson. Med., 85(6):1182-1195, 2007. (Pubitemid 350234205)
    • (2007) Magnetic Resonance in Medicine , vol.58 , Issue.6 , pp. 1182-1195
    • Lustig, M.1    Donoho, D.2    Pauly, J.M.3
  • 9
    • 36149042452 scopus 로고
    • Multi-planar image formation using NMR spin-echoes
    • P. Mansfield. Multi-planar image formation using NMR spin-echoes. J. Phys. C, 10:L50-L58, 1977.
    • (1977) J. Phys. C , vol.10
    • Mansfield, P.1
  • 11
    • 44649181578 scopus 로고    scopus 로고
    • Bayesian inference and optimal design for the sparse linear model
    • M. Seeger. Bayesian inference and optimal design for the sparse linear model. JMLR, 9:759-813, 2008.
    • (2008) JMLR , vol.9 , pp. 759-813
    • Seeger, M.1
  • 12
    • 56449114803 scopus 로고    scopus 로고
    • Compressed sensing and Bayesian experimental design
    • M. Seeger and H. Nickisch. Compressed sensing and Bayesian experimental design. In ICML 25, 2008.
    • (2008) ICML , vol.25
    • Seeger, M.1    Nickisch, H.2
  • 13
  • 14
    • 14344264768 scopus 로고    scopus 로고
    • Fast marginal likelihood maximisation for sparse Bayesian models
    • M. Tipping and A. Faul. Fast marginal likelihood maximisation for sparse Bayesian models. In AI and Statistics 9, 2003.
    • (2003) AI and Statistics , vol.9
    • Tipping, M.1    Faul, A.2
  • 16
    • 85161974668 scopus 로고    scopus 로고
    • A new view of automatic relevance determination
    • D. Wipf and S. Nagarajan. A new view of automatic relevance determination. In NIPS 20, 2008.
    • (2008) NIPS , vol.20
    • Wipf, D.1    Nagarajan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.