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Journal Abstract Search

207 related items for PubMed ID: 19501654

  • 1. Automated MRI-based classification of primary progressive aphasia variants.
    Wilson SM, Ogar JM, Laluz V, Growdon M, Jang J, Glenn S, Miller BL, Weiner MW, Gorno-Tempini ML.
    Neuroimage; 2009 Oct 01; 47(4):1558-67. PubMed ID: 19501654
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  • 2. The neural substrates of transdiagnostic cognitive-linguistic heterogeneity in primary progressive aphasia.
    Ramanan S, Halai AD, Garcia-Penton L, Perry AG, Patel N, Peterson KA, Ingram RU, Storey I, Cappa SF, Catricala E, Patterson K, Rowe JB, Garrard P, Ralph MAL.
    Alzheimers Res Ther; 2023 Dec 16; 15(1):219. PubMed ID: 38102724
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  • 3. Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.
    Bisenius S, Mueller K, Diehl-Schmid J, Fassbender K, Grimmer T, Jessen F, Kassubek J, Kornhuber J, Landwehrmeyer B, Ludolph A, Schneider A, Anderl-Straub S, Stuke K, Danek A, Otto M, Schroeter ML, FTLDc study group.
    Neuroimage Clin; 2017 Dec 16; 14():334-343. PubMed ID: 28229040
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  • 7. Automated computer differential classification in Parkinsonian Syndromes via pattern analysis on MRI.
    Duchesne S, Rolland Y, Vérin M.
    Acad Radiol; 2009 Jan 16; 16(1):61-70. PubMed ID: 19064213
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  • 9. Quantitative analysis of grey matter degeneration in FTD patients using fractal dimension analysis.
    Sheelakumari R, Venkateswaran Rajagopalan, Chandran A, Varghese T, Zhang L, Yue GH, Mathuranath PS, Kesavadas C.
    Brain Imaging Behav; 2018 Oct 16; 12(5):1221-1228. PubMed ID: 29086152
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  • 10. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
    Lee SH, Kim JH, Cho N, Park JS, Yang Z, Jung YS, Moon WK.
    Med Phys; 2010 Aug 16; 37(8):3940-56. PubMed ID: 20879557
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  • 12. Healthy brain connectivity predicts atrophy progression in non-fluent variant of primary progressive aphasia.
    Mandelli ML, Vilaplana E, Brown JA, Hubbard HI, Binney RJ, Attygalle S, Santos-Santos MA, Miller ZA, Pakvasa M, Henry ML, Rosen HJ, Henry RG, Rabinovici GD, Miller BL, Seeley WW, Gorno-Tempini ML.
    Brain; 2016 Oct 16; 139(Pt 10):2778-2791. PubMed ID: 27497488
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  • 13. Support vector machine-based classification of Alzheimer's disease from whole-brain anatomical MRI.
    Magnin B, Mesrob L, Kinkingnéhun S, Pélégrini-Issac M, Colliot O, Sarazin M, Dubois B, Lehéricy S, Benali H.
    Neuroradiology; 2009 Feb 16; 51(2):73-83. PubMed ID: 18846369
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  • 14. Female children with autism spectrum disorder: an insight from mass-univariate and pattern classification analyses.
    Calderoni S, Retico A, Biagi L, Tancredi R, Muratori F, Tosetti M.
    Neuroimage; 2012 Jan 16; 59(2):1013-22. PubMed ID: 21896334
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  • 15. Artificial intelligence classifies primary progressive aphasia from connected speech.
    Rezaii N, Hochberg D, Quimby M, Wong B, Brickhouse M, Touroutoglou A, Dickerson BC, Wolff P.
    Brain; 2024 Sep 03; 147(9):3070-3082. PubMed ID: 38912855
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  • 17. COMPARE: classification of morphological patterns using adaptive regional elements.
    Fan Y, Shen D, Gur RC, Gur RE, Davatzikos C.
    IEEE Trans Med Imaging; 2007 Jan 03; 26(1):93-105. PubMed ID: 17243588
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  • 18. Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme.
    Zacharaki EI, Wang S, Chawla S, Soo Yoo D, Wolf R, Melhem ER, Davatzikos C.
    Magn Reson Med; 2009 Dec 03; 62(6):1609-18. PubMed ID: 19859947
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  • 19. Abeta amyloid and glucose metabolism in three variants of primary progressive aphasia.
    Rabinovici GD, Jagust WJ, Furst AJ, Ogar JM, Racine CA, Mormino EC, O'Neil JP, Lal RA, Dronkers NF, Miller BL, Gorno-Tempini ML.
    Ann Neurol; 2008 Oct 03; 64(4):388-401. PubMed ID: 18991338
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