مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Cites:

1

Information Journal Paper

Title

CLINICAL NEONATAL BRAIN MRI SEGMENTATION USING ADAPTIVE NONPARAMETRIC DATA MODELS AND INTENSITY-BASED MARKOV PRIORS

Pages

  883-890

Keywords

Not Registered.

Abstract

Cites

References

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  • Cite

    APA: Copy

    SONG, Z., AWATE, S.P., & LICHT, D.J.. (2007). CLINICAL NEONATAL BRAIN MRI SEGMENTATION USING ADAPTIVE NONPARAMETRIC DATA MODELS AND INTENSITY-BASED MARKOV PRIORS. PROC. OF INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION (MICCAI), -(-), 883-890. SID. https://sid.ir/paper/643057/en

    Vancouver: Copy

    SONG Z., AWATE S.P., LICHT D.J.. CLINICAL NEONATAL BRAIN MRI SEGMENTATION USING ADAPTIVE NONPARAMETRIC DATA MODELS AND INTENSITY-BASED MARKOV PRIORS. PROC. OF INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION (MICCAI)[Internet]. 2007;-(-):883-890. Available from: https://sid.ir/paper/643057/en

    IEEE: Copy

    Z. SONG, S.P. AWATE, and D.J. LICHT, “CLINICAL NEONATAL BRAIN MRI SEGMENTATION USING ADAPTIVE NONPARAMETRIC DATA MODELS AND INTENSITY-BASED MARKOV PRIORS,” PROC. OF INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION (MICCAI), vol. -, no. -, pp. 883–890, 2007, [Online]. Available: https://sid.ir/paper/643057/en

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