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brain imaging data structure [bids]  (Neurodata GmbH)

 
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    Neurodata GmbH brain imaging data structure [bids]
    Brain Imaging Data Structure [Bids], supplied by Neurodata GmbH, 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/result/brain imaging data structure [bids]/product/Neurodata GmbH
    Average 90 stars, based on 1 article reviews
    brain imaging data structure [bids] - by Bioz Stars, 2026-06
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    Image Search Results


    Summarized demographics, pathological type, distribution, and volumes.

    Journal: Human Brain Mapping

    Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

    doi: 10.1002/hbm.26662

    Figure Lengend Snippet: Summarized demographics, pathological type, distribution, and volumes.

    Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

    Techniques:

    Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

    Journal: Human Brain Mapping

    Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

    doi: 10.1002/hbm.26662

    Figure Lengend Snippet: Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.

    Article Snippet: All acquired images were converted to the brain imaging data structure (BIDS) (Gorgolewski et al., ) format using the KU Leuven Neuroimaging suite (KUL_NIS) ( KULeuven Neuro Imaging Suite (KUL_NIS) , 2018/ ) ( https://github.com/treanus/KUL_NIS ) and dcm2bids (Bedetti et al., ).

    Techniques: Imaging, Diffusion-based Assay, Magnetic Resonance Imaging