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Journal Abstract Search

311 related items for PubMed ID: 20575080

  • 1. Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.
    Chard DT, Jackson JS, Miller DH, Wheeler-Kingshott CA.
    J Magn Reson Imaging; 2010 Jul; 32(1):223-8. PubMed ID: 20575080
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  • 2. Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling.
    Valverde S, Oliver A, Roura E, Pareto D, Vilanova JC, Ramió-Torrentà L, Sastre-Garriga J, Montalban X, Rovira À, Lladó X.
    Neuroimage Clin; 2015 Jul; 9():640-7. PubMed ID: 26740917
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  • 3. Automated brain tissue assessment in the elderly and demented population: construction and validation of a sub-volume probabilistic brain atlas.
    Mega MS, Dinov ID, Mazziotta JC, Manese M, Thompson PM, Lindshield C, Moussai J, Tran N, Olsen K, Zoumalan CI, Woods RP, Toga AW.
    Neuroimage; 2005 Jul 15; 26(4):1009-18. PubMed ID: 15908234
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  • 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
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  • 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
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  • 8. Semiautomatic brain region extraction: a method of parcellating brain regions from structural magnetic resonance images.
    Dade LA, Gao FQ, Kovacevic N, Roy P, Rockel C, O'Toole CM, Lobaugh NJ, Feinstein A, Levine B, Black SE.
    Neuroimage; 2004 Aug 01; 22(4):1492-502. PubMed ID: 15275906
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  • 9. Automatic segmentation of magnetic resonance images using a decision tree with spatial information.
    Chao WH, Chen YY, Lin SH, Shih YY, Tsang S.
    Comput Med Imaging Graph; 2009 Mar 01; 33(2):111-21. PubMed ID: 19097854
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  • 10. 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 01; 63(2):158-63. PubMed ID: 18091357
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  • 13. Quantitative magnetic resonance imaging of brain development in premature and mature newborns.
    Hüppi PS, Warfield S, Kikinis R, Barnes PD, Zientara GP, Jolesz FA, Tsuji MK, Volpe JJ.
    Ann Neurol; 1998 Feb 01; 43(2):224-35. PubMed ID: 9485064
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  • 16. Accurate GM atrophy quantification in MS using lesion-filling with co-registered 2D lesion masks.
    Popescu V, Ran NC, Barkhof F, Chard DT, Wheeler-Kingshott CA, Vrenken H.
    Neuroimage Clin; 2014 Feb 01; 4():366-73. PubMed ID: 24567908
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  • 20. Brain atrophy and lesion load in a large population of patients with multiple sclerosis.
    Tedeschi G, Lavorgna L, Russo P, Prinster A, Dinacci D, Savettieri G, Quattrone A, Livrea P, Messina C, Reggio A, Bresciamorra V, Orefice G, Paciello M, Brunetti A, Coniglio G, Bonavita S, Di Costanzo A, Bellacosa A, Valentino P, Quarantelli M, Patti F, Salemi G, Cammarata E, Simone IL, Salvatore M, Bonavita V, Alfano B.
    Neurology; 2005 Jul 26; 65(2):280-5. PubMed ID: 16043800
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