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Journal Abstract Search

157 related items for PubMed ID: 27943055

  • 21.
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  • 22. Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.
    Mulder ER, de Jong RA, Knol DL, van Schijndel RA, Cover KS, Visser PJ, Barkhof F, Vrenken H, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2014 May 15; 92():169-81. PubMed ID: 24521851
    [Abstract] [Full Text] [Related]

  • 23. Quantitative texture analysis of brain white matter lesions derived from T2-weighted MR images in MS patients with clinically isolated syndrome.
    Loizou CP, Petroudi S, Seimenis I, Pantziaris M, Pattichis CS.
    J Neuroradiol; 2015 Apr 15; 42(2):99-114. PubMed ID: 24970463
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  • 24. Automated longitudinal intra-subject analysis (ALISA) for diffusion MRI tractography.
    Aarnink SH, Vos SB, Leemans A, Jernigan TL, Madsen KS, Baaré WF.
    Neuroimage; 2014 Feb 01; 86():404-16. PubMed ID: 24157921
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  • 27. Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis.
    Gabr RE, Hasan KM, Haque ME, Nelson FM, Wolinsky JS, Narayana PA.
    J Magn Reson Imaging; 2016 Nov 01; 44(5):1293-1300. PubMed ID: 27126898
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  • 28. Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
    Rachmadi MF, Valdés-Hernández MDC, Li H, Guerrero R, Meijboom R, Wiseman S, Waldman A, Zhang J, Rueckert D, Wardlaw J, Komura T.
    Comput Med Imaging Graph; 2020 Jan 01; 79():101685. PubMed ID: 31846826
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  • 29. Automatic segmentation of white matter hyperintensities in T2-FLAIR with AQUA: A comparative validation study against conventional methods.
    Lee S, Rieu Z, Kim RE, Lee M, Yen K, Yong J, Kim D.
    Brain Res Bull; 2023 Dec 01; 205():110825. PubMed ID: 38000477
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  • 30. Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging.
    Dadar M, Maranzano J, Misquitta K, Anor CJ, Fonov VS, Tartaglia MC, Carmichael OT, Decarli C, Collins DL, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2017 Aug 15; 157():233-249. PubMed ID: 28602597
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  • 31.
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  • 32. Advanced magnetic resonance imaging techniques in the evaluation of pediatric white matter diseases.
    Rueda-Lopes FC, Doring TM, Gasparetto EL.
    Top Magn Reson Imaging; 2011 Oct 15; 22(5):251-8. PubMed ID: 24562094
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  • 33. Coarse Classification to Region-Scalable Refining for White Matter Lesions Segmentation in Multi-Channel MRI.
    Yu R, Xiao L, Wei Z.
    CNS Neurol Disord Drug Targets; 2017 Oct 15; 16(2):150-159. PubMed ID: 28000558
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  • 34. Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging.
    Igwe KC, Lao PJ, Vorburger RS, Banerjee A, Rivera A, Chesebro A, Laing K, Manly JJ, Brickman AM.
    Magn Reson Imaging; 2022 Jan 15; 85():71-79. PubMed ID: 34662699
    [Abstract] [Full Text] [Related]

  • 35. Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images.
    Karimaghaloo Z, Arnold DL, Arbel T.
    Med Image Anal; 2016 Jan 15; 27():17-30. PubMed ID: 26211811
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  • 36. Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.
    Sauwen N, Acou M, Sima DM, Veraart J, Maes F, Himmelreich U, Achten E, Huffel SV.
    BMC Med Imaging; 2017 May 04; 17(1):29. PubMed ID: 28472943
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  • 37. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.
    Oishi K, Faria A, Jiang H, Li X, Akhter K, Zhang J, Hsu JT, Miller MI, van Zijl PC, Albert M, Lyketsos CG, Woods R, Toga AW, Pike GB, Rosa-Neto P, Evans A, Mazziotta J, Mori S.
    Neuroimage; 2009 Jun 04; 46(2):486-99. PubMed ID: 19385016
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  • 38. White Matter Hyperintensities and Mild Cognitive Impairment in Parkinson's Disease.
    Mak E, Dwyer MG, Ramasamy DP, Au WL, Tan LC, Zivadinov R, Kandiah N.
    J Neuroimaging; 2015 Jun 04; 25(5):754-60. PubMed ID: 25753576
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  • 39. Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
    Sundaresan V, Griffanti L, Kindalova P, Alfaro-Almagro F, Zamboni G, Rothwell PM, Nichols TE, Jenkinson M.
    Neuroimage; 2019 Jan 15; 185():434-445. PubMed ID: 30359730
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  • 40. Automated segmentation of the canine corpus callosum for the measurement of diffusion tensor imaging.
    Peterson DE, Chen SD, Calabrese E, White LE, Provenzale JM.
    Neuroradiol J; 2016 Feb 15; 29(1):4-12. PubMed ID: 26577603
    [Abstract] [Full Text] [Related]

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