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version: 9.3.0.713579 (r2017b)  (MathWorks Inc)


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    MathWorks Inc version: 9.3.0.713579 (r2017b)
    Version: 9.3.0.713579 (R2017b), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/version+r2017b%2C+9%2E3%2E0%2E713579/pm39044302-397-6-3
    Average 90 stars, based on 1 article reviews
    version: 9.3.0.713579 (r2017b) - by Bioz Stars, 2026-10
    90/100 stars

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    Sequencing:

    Article Title: A pilot study of longitudinal changes in neurocognition, white matter hyperintensities, and cortical thickness in atrial fibrillation patients following catheter ablation vs medical management
    Article Snippet: .. The T1-weighted sequence data were segmented into gray, white, and cerebrospinal fluid maps using Statistical Parametric Mapping software (version 12, 7219; Wellcome Institute, London, United Kingdom) for MATLAB (version R2017b, 9.3.0.713579; The MathWorks, Natick, MA) to derive whole brain tissue volumes and allow for measurement of total intracranial volume. .. WMHs were measured from coregistered T2 FLAIR data that were longitudinally bias-corrected via the MATLAB Lesion Segmentation Toolbox and subsequently processed using a neural network–guided, automated lesion processing pipeline.

    Software:

    Article Title: A pilot study of longitudinal changes in neurocognition, white matter hyperintensities, and cortical thickness in atrial fibrillation patients following catheter ablation vs medical management
    Article Snippet: .. The T1-weighted sequence data were segmented into gray, white, and cerebrospinal fluid maps using Statistical Parametric Mapping software (version 12, 7219; Wellcome Institute, London, United Kingdom) for MATLAB (version R2017b, 9.3.0.713579; The MathWorks, Natick, MA) to derive whole brain tissue volumes and allow for measurement of total intracranial volume. .. WMHs were measured from coregistered T2 FLAIR data that were longitudinally bias-corrected via the MATLAB Lesion Segmentation Toolbox and subsequently processed using a neural network–guided, automated lesion processing pipeline.



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