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PUBMED FOR HANDHELDS

Journal Abstract Search


205 related items for PubMed ID: 33283293

  • 1. Improved detection of focal cortical dysplasia in normal-appearing FLAIR images using a Bayesian classifier.
    Feng C, Zhao H, Li Y, Cheng Z, Wen J.
    Med Phys; 2021 Feb; 48(2):912-925. PubMed ID: 33283293
    [Abstract] [Full Text] [Related]

  • 2. Detecting focal cortical dysplasia lesions from FLAIR-negative images based on cortical thickness.
    Feng C, Zhao H, Tian M, Lu M, Wen J.
    Biomed Eng Online; 2020 Feb 22; 19(1):13. PubMed ID: 32087703
    [Abstract] [Full Text] [Related]

  • 3. Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS).
    Chen X, Qian T, Kober T, Zhang G, Ren Z, Yu T, Piao Y, Chen N, Li K.
    Neuroimage Clin; 2018 Feb 22; 20():388-397. PubMed ID: 30128277
    [Abstract] [Full Text] [Related]

  • 4. Automatic localization and segmentation of focal cortical dysplasia in FLAIR-negative patients using a convolutional neural network.
    Feng C, Zhao H, Li Y, Wen J.
    J Appl Clin Med Phys; 2020 Sep 22; 21(9):215-226. PubMed ID: 32809276
    [Abstract] [Full Text] [Related]

  • 5. Role of three-dimensional fluid-attenuated inversion recovery (3D FLAIR) and proton density magnetic resonance imaging for the detection and evaluation of lesion extent of focal cortical dysplasia in patients with refractory epilepsy.
    Saini J, Singh A, Kesavadas C, Thomas B, Rathore C, Bahuleyan B, Radhakrishnan A, Radhakrishnan K.
    Acta Radiol; 2010 Mar 22; 51(2):218-25. PubMed ID: 20144146
    [Abstract] [Full Text] [Related]

  • 6. Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images.
    Kulaseharan S, Aminpour A, Ebrahimi M, Widjaja E.
    Neuroimage Clin; 2019 Mar 22; 21():101663. PubMed ID: 30642755
    [Abstract] [Full Text] [Related]

  • 7. Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis.
    Antel SB, Collins DL, Bernasconi N, Andermann F, Shinghal R, Kearney RE, Arnold DL, Bernasconi A.
    Neuroimage; 2003 Aug 22; 19(4):1748-59. PubMed ID: 12948729
    [Abstract] [Full Text] [Related]

  • 8. Combining magnetic resonance fingerprinting with voxel-based morphometric analysis to reduce false positives for focal cortical dysplasia detection.
    Ding Z, Hu S, Su TY, Choi JY, Morris S, Wang X, Sakaie K, Murakami H, Huppertz HJ, Blümcke I, Jones S, Najm I, Ma D, Wang ZI.
    Epilepsia; 2024 Jun 22; 65(6):1631-1643. PubMed ID: 38511905
    [Abstract] [Full Text] [Related]

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  • 10. Development and prospective clinical validation of a convolutional neural network for automated detection and segmentation of focal cortical dysplasias.
    Chanra V, Chudzinska A, Braniewska N, Silski B, Holst B, Sauvigny T, Stodieck S, Pelzl S, House PM.
    Epilepsy Res; 2024 May 22; 202():107357. PubMed ID: 38582073
    [Abstract] [Full Text] [Related]

  • 11. Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.
    Tan YL, Kim H, Lee S, Tihan T, Ver Hoef L, Mueller SG, Barkovich AJ, Xu D, Knowlton R.
    Neuroimage; 2018 Feb 01; 166():10-18. PubMed ID: 29097316
    [Abstract] [Full Text] [Related]

  • 12. Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI.
    Middlebrooks EH, Lin C, Westerhold E, Okromelidze L, Vibhute P, Grewal SS, Gupta V.
    Neuroimage Clin; 2020 Feb 01; 28():102449. PubMed ID: 33032066
    [Abstract] [Full Text] [Related]

  • 13. Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia.
    Ahmed B, Brodley CE, Blackmon KE, Kuzniecky R, Barash G, Carlson C, Quinn BT, Doyle W, French J, Devinsky O, Thesen T.
    Epilepsy Behav; 2015 Jul 01; 48():21-8. PubMed ID: 26037845
    [Abstract] [Full Text] [Related]

  • 14. Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy.
    Adler S, Wagstyl K, Gunny R, Ronan L, Carmichael D, Cross JH, Fletcher PC, Baldeweg T.
    Neuroimage Clin; 2017 Jul 01; 14():18-27. PubMed ID: 28123950
    [Abstract] [Full Text] [Related]

  • 15. Cortical Changes in Epilepsy Patients With Focal Cortical Dysplasia: New Insights With T2 Mapping.
    Ahmad R, Maiworm M, Nöth U, Seiler A, Hattingen E, Steinmetz H, Rosenow F, Deichmann R, Wagner M, Gracien RM.
    J Magn Reson Imaging; 2020 Dec 01; 52(6):1783-1789. PubMed ID: 32383241
    [Abstract] [Full Text] [Related]

  • 16. Multi-Res-Attention UNet: A CNN Model for the Segmentation of Focal Cortical Dysplasia Lesions from Magnetic Resonance Images.
    Thomas E, Pawan SJ, Kumar S, Horo A, Niyas S, Vinayagamani S, Kesavadas C, Rajan J.
    IEEE J Biomed Health Inform; 2021 May 01; 25(5):1724-1734. PubMed ID: 32931436
    [Abstract] [Full Text] [Related]

  • 17. Distinguishing type II focal cortical dysplasias from normal cortex: A novel normative modeling approach.
    Snyder K, Whitehead EP, Theodore WH, Zaghloul KA, Inati SJ, Inati SK.
    Neuroimage Clin; 2021 May 01; 30():102565. PubMed ID: 33556791
    [Abstract] [Full Text] [Related]

  • 18. Magnetic resonance imaging of focal cortical dysplasia: Comparison of 3D and 2D fluid attenuated inversion recovery sequences at 3T.
    Tschampa HJ, Urbach H, Malter M, Surges R, Greschus S, Gieseke J.
    Epilepsy Res; 2015 Oct 01; 116():8-14. PubMed ID: 26354162
    [Abstract] [Full Text] [Related]

  • 19. Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.
    Rajan J, Kannan K, Kesavadas C, Thomas B.
    Comput Med Imaging Graph; 2009 Oct 01; 33(7):553-8. PubMed ID: 19560319
    [Abstract] [Full Text] [Related]

  • 20. MRI profiling of focal cortical dysplasia using multi-compartment diffusion models.
    Lorio S, Adler S, Gunny R, D'Arco F, Kaden E, Wagstyl K, Jacques TS, Clark CA, Cross JH, Baldeweg T, Carmichael DW.
    Epilepsia; 2020 Mar 01; 61(3):433-444. PubMed ID: 32065673
    [Abstract] [Full Text] [Related]


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