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Journal Abstract Search


430 related items for PubMed ID: 29637549

  • 1. Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.
    Jin B, Krishnan B, Adler S, Wagstyl K, Hu W, Jones S, Najm I, Alexopoulos A, Zhang K, Zhang J, Ding M, Wang S, Pediatric Imaging, Neurocognition, and Genetics Study, Wang ZI.
    Epilepsia; 2018 May; 59(5):982-992. PubMed ID: 29637549
    [Abstract] [Full Text] [Related]

  • 2. 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 May; 14():18-27. PubMed ID: 28123950
    [Abstract] [Full Text] [Related]

  • 3. 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; 48():21-8. PubMed ID: 26037845
    [Abstract] [Full Text] [Related]

  • 4. Quantitative positron emission tomography-guided magnetic resonance imaging postprocessing in magnetic resonance imaging-negative epilepsies.
    Lin Y, Fang YD, Wu G, Jones SE, Prayson RA, Moosa ANV, Overmyer M, Bena J, Larvie M, Bingaman W, Gonzalez-Martinez JA, Najm IM, Alexopoulos AV, Wang ZI.
    Epilepsia; 2018 Aug; 59(8):1583-1594. PubMed ID: 29953586
    [Abstract] [Full Text] [Related]

  • 5. 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; 65(6):1631-1643. PubMed ID: 38511905
    [Abstract] [Full Text] [Related]

  • 6. Multimodal MRI profiling of focal cortical dysplasia type II.
    Hong SJ, Bernhardt BC, Caldairou B, Hall JA, Guiot MC, Schrader D, Bernasconi N, Bernasconi A.
    Neurology; 2017 Feb 21; 88(8):734-742. PubMed ID: 28130467
    [Abstract] [Full Text] [Related]

  • 7. Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia.
    Gill RS, Lee HM, Caldairou B, Hong SJ, Barba C, Deleo F, D'Incerti L, Mendes Coelho VC, Lenge M, Semmelroch M, Schrader DV, Bartolomei F, Guye M, Schulze-Bonhage A, Urbach H, Cho KH, Cendes F, Guerrini R, Jackson G, Hogan RE, Bernasconi N, Bernasconi A.
    Neurology; 2021 Oct 19; 97(16):e1571-e1582. PubMed ID: 34521691
    [Abstract] [Full Text] [Related]

  • 8. Automated detection of cortical dysplasia type II in MRI-negative epilepsy.
    Hong SJ, Kim H, Schrader D, Bernasconi N, Bernhardt BC, Bernasconi A.
    Neurology; 2014 Jul 01; 83(1):48-55. PubMed ID: 24898923
    [Abstract] [Full Text] [Related]

  • 9. Morphometric analysis on T1-weighted MRI complements visual MRI review in focal cortical dysplasia.
    Wong-Kisiel LC, Tovar Quiroga DF, Kenney-Jung DL, Witte RJ, Santana-Almansa A, Worrell GA, Britton J, Brinkmann BH.
    Epilepsy Res; 2018 Feb 01; 140():184-191. PubMed ID: 29414526
    [Abstract] [Full Text] [Related]

  • 10. Voxel-based automated detection of focal cortical dysplasia lesions using diffusion tensor imaging and T2-weighted MRI data.
    Wang Y, Zhou Y, Wang H, Cui J, Nguchu BA, Zhang X, Qiu B, Wang X, Zhu M.
    Epilepsy Behav; 2018 Jul 01; 84():127-134. PubMed ID: 29793134
    [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. Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study.
    Spitzer H, Ripart M, Whitaker K, D'Arco F, Mankad K, Chen AA, Napolitano A, De Palma L, De Benedictis A, Foldes S, Humphreys Z, Zhang K, Hu W, Mo J, Likeman M, Davies S, Güttler C, Lenge M, Cohen NT, Tang Y, Wang S, Chari A, Tisdall M, Bargallo N, Conde-Blanco E, Pariente JC, Pascual-Diaz S, Delgado-Martínez I, Pérez-Enríquez C, Lagorio I, Abela E, Mullatti N, O'Muircheartaigh J, Vecchiato K, Liu Y, Caligiuri ME, Sinclair B, Vivash L, Willard A, Kandasamy J, McLellan A, Sokol D, Semmelroch M, Kloster AG, Opheim G, Ribeiro L, Yasuda C, Rossi-Espagnet C, Hamandi K, Tietze A, Barba C, Guerrini R, Gaillard WD, You X, Wang I, González-Ortiz S, Severino M, Striano P, Tortora D, Kälviäinen R, Gambardella A, Labate A, Desmond P, Lui E, O'Brien T, Shetty J, Jackson G, Duncan JS, Winston GP, Pinborg LH, Cendes F, Theis FJ, Shinohara RT, Cross JH, Baldeweg T, Adler S, Wagstyl K.
    Brain; 2022 Nov 21; 145(11):3859-3871. PubMed ID: 35953082
    [Abstract] [Full Text] [Related]

  • 13. Unsupervised machine learning reveals lesional variability in focal cortical dysplasia at mesoscopic scale.
    Lee HM, Gill RS, Fadaie F, Cho KH, Guiot MC, Hong SJ, Bernasconi N, Bernasconi A.
    Neuroimage Clin; 2020 Nov 21; 28():102438. PubMed ID: 32987299
    [Abstract] [Full Text] [Related]

  • 14. 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 21; 61(3):433-444. PubMed ID: 32065673
    [Abstract] [Full Text] [Related]

  • 15. External validation of automated focal cortical dysplasia detection using morphometric analysis.
    David B, Kröll-Seger J, Schuch F, Wagner J, Wellmer J, Woermann F, Oehl B, Van Paesschen W, Breyer T, Becker A, Vatter H, Hattingen E, Urbach H, Weber B, Surges R, Elger CE, Huppertz HJ, Rüber T.
    Epilepsia; 2021 Apr 21; 62(4):1005-1021. PubMed ID: 33638457
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