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Journal Abstract Search

287 related items for PubMed ID: 23796882

  • 21. Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation.
    Khalilzadeh MM, Fatemizadeh E, Behnam H.
    Magn Reson Imaging; 2013 Jun; 31(5):733-41. PubMed ID: 23260393
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  • 22. An approach to comparing accuracies of two FLAIR MR sequences in the detection of multiple sclerosis lesions in the brain in the absence of gold standard.
    Bilello M, Suri N, Krejza J, Woo JH, Bagley LJ, Mamourian AC, Vossough A, Chen JY, Millian BR, Mulderink T, Markowitz CE, Melhem ER.
    Acad Radiol; 2010 Jun; 17(6):686-95. PubMed ID: 20457413
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  • 23. Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.
    Wang R, Li C, Wang J, Wei X, Li Y, Zhu Y, Zhang S.
    Neuroradiology; 2015 Mar; 57(3):307-20. PubMed ID: 25407717
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  • 24. Atlas-based fuzzy connectedness segmentation and intensity nonuniformity correction applied to brain MRI.
    Zhou Y, Bai J.
    IEEE Trans Biomed Eng; 2007 Jan; 54(1):122-9. PubMed ID: 17260863
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  • 25. Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease.
    Chupin M, Mukuna-Bantumbakulu AR, Hasboun D, Bardinet E, Baillet S, Kinkingnéhun S, Lemieux L, Dubois B, Garnero L.
    Neuroimage; 2007 Feb 01; 34(3):996-1019. PubMed ID: 17178234
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  • 29. A toolbox for multiple sclerosis lesion segmentation.
    Roura E, Oliver A, Cabezas M, Valverde S, Pareto D, Vilanova JC, Ramió-Torrentà L, Rovira À, Lladó X.
    Neuroradiology; 2015 Oct 01; 57(10):1031-43. PubMed ID: 26227167
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  • 30. A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation.
    da Silva Senra Filho AC.
    Med Biol Eng Comput; 2018 Jun 01; 56(6):1063-1076. PubMed ID: 29150799
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  • 33. Case study: an evaluation of user-assisted hierarchical watershed segmentation.
    Cates JE, Whitaker RT, Jones GM.
    Med Image Anal; 2005 Dec 01; 9(6):566-78. PubMed ID: 15919233
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  • 35. A model-based, semi-global segmentation approach for automatic 3-D point landmark localization in neuroimages.
    Liu J, Gao W, Huang S, Nowinski WL.
    IEEE Trans Med Imaging; 2008 Aug 01; 27(8):1034-44. PubMed ID: 18672421
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  • 36. Segmentation and volumetric analysis of the caudate nucleus in Alzheimer's disease.
    Jiji S, Smitha KA, Gupta AK, Pillai VP, Jayasree RS.
    Eur J Radiol; 2013 Sep 01; 82(9):1525-30. PubMed ID: 23664648
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  • 37. T1-weighted fluid-attenuated inversion recovery and T1-weighted fast spin-echo contrast-enhanced imaging: a comparison in 20 patients with brain lesions.
    Al-Saeed O, Ismail M, Athyal RP, Rudwan M, Khafajee S.
    J Med Imaging Radiat Oncol; 2009 Aug 01; 53(4):366-72. PubMed ID: 19695043
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  • 40. Automatic segmentation of left and right cerebral hemispheres from MRI brain volumes using the graph cuts algorithm.
    Liang L, Rehm K, Woods RP, Rottenberg DA.
    Neuroimage; 2007 Feb 01; 34(3):1160-70. PubMed ID: 17150376
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