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Journal Abstract Search

287 related items for PubMed ID: 23796882

  • 1. FLAIR lesion segmentation: application in patients with brain tumors and acute ischemic stroke.
    Artzi M, Aizenstein O, Jonas-Kimchi T, Myers V, Hallevi H, Ben Bashat D.
    Eur J Radiol; 2013 Sep; 82(9):1512-8. PubMed ID: 23796882
    [Abstract] [Full Text] [Related]

  • 2. MRI assessment of relapsed glioblastoma during treatment with bevacizumab: volumetric measurement of enhanced and FLAIR lesions for evaluation of response and progression--a pilot study.
    Pichler J, Pachinger C, Pelz M, Kleiser R.
    Eur J Radiol; 2013 May; 82(5):e240-5. PubMed ID: 23399039
    [Abstract] [Full Text] [Related]

  • 3. Automatic multi-modal MR tissue classification for the assessment of response to bevacizumab in patients with glioblastoma.
    Liberman G, Louzoun Y, Aizenstein O, Blumenthal DT, Bokstein F, Palmon M, Corn BW, Ben Bashat D.
    Eur J Radiol; 2013 Feb; 82(2):e87-94. PubMed ID: 23017192
    [Abstract] [Full Text] [Related]

  • 4. Extra tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences.
    Maier O, Wilms M, von der Gablentz J, Krämer UM, Münte TF, Handels H.
    J Neurosci Methods; 2015 Jan 30; 240():89-100. PubMed ID: 25448384
    [Abstract] [Full Text] [Related]

  • 5. Lesion segmentation from multimodal MRI using random forest following ischemic stroke.
    Mitra J, Bourgeat P, Fripp J, Ghose S, Rose S, Salvado O, Connelly A, Campbell B, Palmer S, Sharma G, Christensen S, Carey L.
    Neuroimage; 2014 Sep 30; 98():324-35. PubMed ID: 24793830
    [Abstract] [Full Text] [Related]

  • 6. Reliability of Semi-Automated Segmentations in Glioblastoma.
    Huber T, Alber G, Bette S, Boeckh-Behrens T, Gempt J, Ringel F, Alberts E, Zimmer C, Bauer JS.
    Clin Neuroradiol; 2017 Jun 30; 27(2):153-161. PubMed ID: 26490369
    [Abstract] [Full Text] [Related]

  • 7. The extent of perfusion deficit does not relate to the visibility of acute ischemic lesions on fluid-attenuated inversion recovery imaging.
    Cheng B, Rosenkranz M, Krützelmann A, Fiehler J, Forkert ND, Gerloff C, Thomalla G.
    J Neuroimaging; 2013 Apr 30; 23(2):215-8. PubMed ID: 22818219
    [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 30; 32(2):124-33. PubMed ID: 18055174
    [Abstract] [Full Text] [Related]

  • 9. Automatic segmentation and quantitative analysis of white matter hyperintensities on FLAIR images using trimmed-likelihood estimator.
    Wang R, Li C, Wang J, Wei X, Li Y, Hui C, Zhu Y, Zhang S.
    Acad Radiol; 2014 Dec 30; 21(12):1512-23. PubMed ID: 25176451
    [Abstract] [Full Text] [Related]

  • 10. Differential MRI analysis for quantification of low grade glioma growth.
    Angelini ED, Delon J, Bah AB, Capelle L, Mandonnet E.
    Med Image Anal; 2012 Jan 30; 16(1):114-26. PubMed ID: 21911309
    [Abstract] [Full Text] [Related]

  • 11. State of the art survey on MRI brain tumor segmentation.
    Gordillo N, Montseny E, Sobrevilla P.
    Magn Reson Imaging; 2013 Oct 30; 31(8):1426-38. PubMed ID: 23790354
    [Abstract] [Full Text] [Related]

  • 12. Development of brain infarct volume as assessed by magnetic resonance imaging (MRI): follow-up of diffusion-weighted MRI lesions.
    Ritzl A, Meisel S, Wittsack HJ, Fink GR, Siebler M, Mödder U, Seitz RJ.
    J Magn Reson Imaging; 2004 Aug 30; 20(2):201-7. PubMed ID: 15269944
    [Abstract] [Full Text] [Related]

  • 13. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods.
    de Boer R, Vrooman HA, Ikram MA, Vernooij MW, Breteler MM, van der Lugt A, Niessen WJ.
    Neuroimage; 2010 Jul 01; 51(3):1047-56. PubMed ID: 20226258
    [Abstract] [Full Text] [Related]

  • 14. Automated estimation of salvageable tissue: Comparison with expert readers.
    Hansen MB, Nagenthiraja K, Ribe LR, Dupont KH, Østergaard L, Mouridsen K.
    J Magn Reson Imaging; 2016 Jan 01; 43(1):220-8. PubMed ID: 26036930
    [Abstract] [Full Text] [Related]

  • 15. Pitfalls of 3D FLAIR brain imaging: a prospective comparison with 2D FLAIR.
    Kakeda S, Korogi Y, Hiai Y, Ohnari N, Sato T, Hirai T.
    Acad Radiol; 2012 Oct 01; 19(10):1225-32. PubMed ID: 22818791
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. A novel content-based active contour model for brain tumor segmentation.
    Sachdeva J, Kumar V, Gupta I, Khandelwal N, Ahuja CK.
    Magn Reson Imaging; 2012 Jun 01; 30(5):694-715. PubMed ID: 22459443
    [Abstract] [Full Text] [Related]

  • 18. Multimodal MRI segmentation of ischemic stroke lesions.
    Kabir Y, Dojat M, Scherrer B, Forbes F, Garbay C.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Jun 01; 2007():1595-8. PubMed ID: 18002276
    [Abstract] [Full Text] [Related]

  • 19. Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus.
    van Rikxoort EM, Isgum I, Arzhaeva Y, Staring M, Klein S, Viergever MA, Pluim JP, van Ginneken B.
    Med Image Anal; 2010 Feb 01; 14(1):39-49. PubMed ID: 19897403
    [Abstract] [Full Text] [Related]

  • 20. Fast semi-automated lesion demarcation in stroke.
    de Haan B, Clas P, Juenger H, Wilke M, Karnath HO.
    Neuroimage Clin; 2015 Feb 01; 9():69-74. PubMed ID: 26413473
    [Abstract] [Full Text] [Related]

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