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Journal Abstract Search

157 related items for PubMed ID: 27943055

  • 1. Reproducible segmentation of white matter hyperintensities using a new statistical definition.
    Damangir S, Westman E, Simmons A, Vrenken H, Wahlund LO, Spulber G.
    MAGMA; 2017 Jun; 30(3):227-237. PubMed ID: 27943055
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  • 2. Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field.
    Roy PK, Bhuiyan A, Janke A, Desmond PM, Wong TY, Abhayaratna WP, Storey E, Ramamohanarao K.
    Comput Med Imaging Graph; 2015 Oct; 45():102-11. PubMed ID: 26398564
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  • 3. BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
    Griffanti L, Zamboni G, Khan A, Li L, Bonifacio G, Sundaresan V, Schulz UG, Kuker W, Battaglini M, Rothwell PM, Jenkinson M.
    Neuroimage; 2016 Nov 01; 141():191-205. PubMed ID: 27402600
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  • 5. Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.
    Moeskops P, de Bresser J, Kuijf HJ, Mendrik AM, Biessels GJ, Pluim JPW, Išgum I.
    Neuroimage Clin; 2018 Nov 01; 17():251-262. PubMed ID: 29159042
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  • 9. UBO Detector - A cluster-based, fully automated pipeline for extracting white matter hyperintensities.
    Jiang J, Liu T, Zhu W, Koncz R, Liu H, Lee T, Sachdev PS, Wen W.
    Neuroimage; 2018 Jul 01; 174():539-549. PubMed ID: 29578029
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  • 10. Application of variable threshold intensity to segmentation for white matter hyperintensities in fluid attenuated inversion recovery magnetic resonance images.
    Yoo BI, Lee JJ, Han JW, Oh SY, Lee EY, MacFall JR, Payne ME, Kim TH, Kim JH, Kim KW.
    Neuroradiology; 2014 Apr 01; 56(4):265-81. PubMed ID: 24493377
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  • 12. Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging.
    Kawata Y, Arimura H, Yamashita Y, Magome T, Ohki M, Toyofuku F, Higashida Y, Tsuchiya K.
    Comput Med Imaging Graph; 2010 Jul 01; 34(5):370-6. PubMed ID: 20116974
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  • 16. Comparison and validation of seven white matter hyperintensities segmentation software in elderly patients.
    Vanderbecq Q, Xu E, Ströer S, Couvy-Duchesne B, Diaz Melo M, Dormont D, Colliot O, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage Clin; 2020 Jul 01; 27():102357. PubMed ID: 32739882
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  • 18. 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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  • 19. Lesion filling effect in regional brain volume estimations: a study in multiple sclerosis patients with low lesion load.
    Pareto D, Sastre-Garriga J, Aymerich FX, Auger C, Tintoré M, Montalban X, Rovira A.
    Neuroradiology; 2016 May 01; 58(5):467-74. PubMed ID: 26847633
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  • 20. Analysis of diffusion tensor measurements of the human cervical spinal cord based on semiautomatic segmentation of the white and gray matter.
    Dostál M, Keřkovský M, Korit Áková E, Němcová E, Stulík J, Staňková M, Bernard V.
    J Magn Reson Imaging; 2018 Nov 01; 48(5):1217-1227. PubMed ID: 29707834
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