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Journal Abstract Search

198 related items for PubMed ID: 15450216

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Probabilistic segmentation of white matter lesions in MR imaging.
    Anbeek P, Vincken KL, van Osch MJ, Bisschops RH, van der Grond J.
    Neuroimage; 2004 Mar; 21(3):1037-44. PubMed ID: 15006671
    [Abstract] [Full Text] [Related]

  • 3. Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging.
    Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, van der Grond J.
    Pediatr Res; 2008 Feb; 63(2):158-63. PubMed ID: 18091357
    [Abstract] [Full Text] [Related]

  • 4. Probabilistic segmentation of brain tissue in MR imaging.
    Anbeek P, Vincken KL, van Bochove GS, van Osch MJ, van der Grond J.
    Neuroimage; 2005 Oct 01; 27(4):795-804. PubMed ID: 16019235
    [Abstract] [Full Text] [Related]

  • 5. White matter lesion extension to automatic brain tissue segmentation on MRI.
    de Boer R, Vrooman HA, van der Lijn F, Vernooij MW, Ikram MA, van der Lugt A, Breteler MM, Niessen WJ.
    Neuroimage; 2009 May 01; 45(4):1151-61. PubMed ID: 19344687
    [Abstract] [Full Text] [Related]

  • 6. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.
    Vrooman HA, Cocosco CA, van der Lijn F, Stokking R, Ikram MA, Vernooij MW, Breteler MM, Niessen WJ.
    Neuroimage; 2007 Aug 01; 37(1):71-81. PubMed ID: 17572111
    [Abstract] [Full Text] [Related]

  • 7. Automated segmentation of multiple sclerosis lesions by model outlier detection.
    Van Leemput K, Maes F, Vandermeulen D, Colchester A, Suetens P.
    IEEE Trans Med Imaging; 2001 Aug 01; 20(8):677-88. PubMed ID: 11513020
    [Abstract] [Full Text] [Related]

  • 8. 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 01; 32(2):124-33. PubMed ID: 18055174
    [Abstract] [Full Text] [Related]

  • 9. Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions.
    Warfield S, Dengler J, Zaers J, Guttmann CR, Wells WM, Ettinger GJ, Hiller J, Kikinis R.
    J Image Guid Surg; 1995 Mar 01; 1(6):326-38. PubMed ID: 9080353
    [Abstract] [Full Text] [Related]

  • 10. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
    Bricq S, Collet Ch, Armspach JP.
    Med Image Anal; 2008 Dec 01; 12(6):639-52. PubMed ID: 18440268
    [Abstract] [Full Text] [Related]

  • 11. Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and Markov random field model.
    Khayati R, Vafadust M, Towhidkhah F, Nabavi M.
    Comput Biol Med; 2008 Mar 01; 38(3):379-90. PubMed ID: 18262511
    [Abstract] [Full Text] [Related]

  • 12. 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 01; 32(3):1205-15. PubMed ID: 16797188
    [Abstract] [Full Text] [Related]

  • 13. Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm.
    Lorenzo-Valdés M, Sanchez-Ortiz GI, Elkington AG, Mohiaddin RH, Rueckert D.
    Med Image Anal; 2004 Sep 01; 8(3):255-65. PubMed ID: 15450220
    [Abstract] [Full Text] [Related]

  • 14. Improved lesion detection in MR mammography: three-dimensional segmentation, moving voxel sampling, and normalized maximum intensity-time ratio entropy.
    Ertaş G, Gülçür HO, Tunaci M.
    Acad Radiol; 2007 Feb 01; 14(2):151-61. PubMed ID: 17236988
    [Abstract] [Full Text] [Related]

  • 15. A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images.
    Chen W, Giger ML, Bick U.
    Acad Radiol; 2006 Jan 01; 13(1):63-72. PubMed ID: 16399033
    [Abstract] [Full Text] [Related]

  • 16. Automatic segmentation and classification of multiple sclerosis in multichannel MRI.
    Akselrod-Ballin A, Galun M, Gomori JM, Filippi M, Valsasina P, Basri R, Brandt A.
    IEEE Trans Biomed Eng; 2009 Oct 01; 56(10):2461-9. PubMed ID: 19758850
    [Abstract] [Full Text] [Related]

  • 17. Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?
    Bergouignan L, Chupin M, Czechowska Y, Kinkingnéhun S, Lemogne C, Le Bastard G, Lepage M, Garnero L, Colliot O, Fossati P.
    Neuroimage; 2009 Mar 01; 45(1):29-37. PubMed ID: 19071222
    [Abstract] [Full Text] [Related]

  • 18. An information theoretic approach for non-rigid image registration using voxel class probabilities.
    D'Agostino E, Maes F, Vandermeulen D, Suetens P.
    Med Image Anal; 2006 Jun 01; 10(3):413-31. PubMed ID: 15919230
    [Abstract] [Full Text] [Related]

  • 19. Segmentation of age-related white matter changes in a clinical multi-center study.
    Dyrby TB, Rostrup E, Baaré WF, van Straaten EC, Barkhof F, Vrenken H, Ropele S, Schmidt R, Erkinjuntti T, Wahlund LO, Pantoni L, Inzitari D, Paulson OB, Hansen LK, Waldemar G, LADIS study group.
    Neuroimage; 2008 Jun 01; 41(2):335-45. PubMed ID: 18394928
    [Abstract] [Full Text] [Related]

  • 20. Adaptive model initialization and deformation for automatic segmentation of T1-weighted brain MRI data.
    Wu Z, Paulsen KD, Sullivan JM.
    IEEE Trans Biomed Eng; 2005 Jun 01; 52(6):1128-31. PubMed ID: 15977742
    [Abstract] [Full Text] [Related]

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