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Journal Abstract Search

282 related items for PubMed ID: 11513020

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  • 4. A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images.
    Khayati R, Vafadust M, Towhidkhah F, Nabavi SM.
    Comput Med Imaging Graph; 2008 Mar; 32(2):124-33. PubMed ID: 18055174
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  • 7. Automatic segmentation of different-sized white matter lesions by voxel probability estimation.
    Anbeek P, Vincken KL, van Osch MJ, Bisschops RH, van der Grond J.
    Med Image Anal; 2004 Sep; 8(3):205-15. PubMed ID: 15450216
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  • 8. Classification of anatomical structures in MR brain images using fuzzy parameters.
    Algorri ME, Flores-Mangas F.
    IEEE Trans Biomed Eng; 2004 Sep; 51(9):1599-608. PubMed ID: 15376508
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  • 9. Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI.
    Wu Y, Warfield SK, Tan IL, Wells WM, Meier DS, van Schijndel RA, Barkhof F, Guttmann CR.
    Neuroimage; 2006 Sep; 32(3):1205-15. PubMed ID: 16797188
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  • 11. [Segmentation of multiple sclerosis lesions based on Markov random fields model for MR images].
    Li B, Chen W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Aug; 26(4):861-5. PubMed ID: 19813627
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  • 16. Automatic white matter lesion segmentation using an adaptive outlier detection method.
    Ong KH, Ramachandram D, Mandava R, Shuaib IL.
    Magn Reson Imaging; 2012 Jul; 30(6):807-23. PubMed ID: 22578927
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  • 17. Evaluation of accuracy in MS lesion volumetry using realistic lesion phantoms.
    Rexilius J, Hahn HK, Schlüter M, Bourquain H, Peitgen HO.
    Acad Radiol; 2005 Jan; 12(1):17-24. PubMed ID: 15691722
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  • 20. Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility.
    Ding Z, Preiningerova J, Cannistraci CJ, Vollmer TL, Gore JC, Anderson AW.
    Magn Reson Imaging; 2005 Apr; 23(3):445-52. PubMed ID: 15862645
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