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Journal Abstract Search

211 related items for PubMed ID: 22055751

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  • 2. Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model.
    Chen Y, Zhao B, Zhang J, Zheng Y.
    Magn Reson Imaging; 2014 Sep; 32(7):941-55. PubMed ID: 24832358
    [Abstract] [Full Text] [Related]

  • 3. An improved variational level set method for MR image segmentation and bias field correction.
    Zhan T, Zhang J, Xiao L, Chen Y, Wei Z.
    Magn Reson Imaging; 2013 Apr; 31(3):439-47. PubMed ID: 23219273
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  • 4. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
    Bricq S, Collet Ch, Armspach JP.
    Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
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  • 7. A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image.
    Ji ZX, Sun QS, Xia DS.
    Comput Med Imaging Graph; 2011 Jul; 35(5):383-97. PubMed ID: 21256710
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  • 8. Atlas-based fuzzy connectedness segmentation and intensity nonuniformity correction applied to brain MRI.
    Zhou Y, Bai J.
    IEEE Trans Biomed Eng; 2007 Jan; 54(1):122-9. PubMed ID: 17260863
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  • 9. Interplay between intensity standardization and inhomogeneity correction in MR image processing.
    Madabhushi A, Udupa JK.
    IEEE Trans Med Imaging; 2005 May; 24(5):561-76. PubMed ID: 15889544
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  • 10. An improved level set method for brain MR images segmentation and bias correction.
    Chen Y, Zhang J, Macione J.
    Comput Med Imaging Graph; 2009 Oct; 33(7):510-9. PubMed ID: 19481420
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  • 11. Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.
    Shah M, Xiao Y, Subbanna N, Francis S, Arnold DL, Collins DL, Arbel T.
    Med Image Anal; 2011 Apr; 15(2):267-82. PubMed ID: 21233004
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  • 12. Topology-preserving tissue classification of magnetic resonance brain images.
    Bazin PL, Pham DL.
    IEEE Trans Med Imaging; 2007 Apr; 26(4):487-96. PubMed ID: 17427736
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  • 13. An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images.
    Ivanovska T, Laqua R, Wang L, Schenk A, Yoon JH, Hegenscheid K, Völzke H, Liebscher V.
    Comput Med Imaging Graph; 2016 Mar; 48():9-20. PubMed ID: 26741125
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  • 14. A novel content-based active contour model for brain tumor segmentation.
    Sachdeva J, Kumar V, Gupta I, Khandelwal N, Ahuja CK.
    Magn Reson Imaging; 2012 Jun; 30(5):694-715. PubMed ID: 22459443
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  • 17. A fully automated algorithm under modified FCM framework for improved brain MR image segmentation.
    Sikka K, Sinha N, Singh PK, Mishra AK.
    Magn Reson Imaging; 2009 Sep; 27(7):994-1004. PubMed ID: 19395212
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  • 18. Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images.
    Pandian DS, Ciulla C, Haacke EM, Jiang J, Ayaz M.
    J Magn Reson Imaging; 2008 Sep; 28(3):727-35. PubMed ID: 18777533
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  • 20. Automatic estimation of the noise variance from the histogram of a magnetic resonance image.
    Sijbers J, Poot D, den Dekker AJ, Pintjens W.
    Phys Med Biol; 2007 Mar 07; 52(5):1335-48. PubMed ID: 17301458
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