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open source customisable matlab based analysis toolbox  (MathWorks Inc)


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    MathWorks Inc open source customisable matlab based analysis toolbox
    Open Source Customisable Matlab Based Analysis Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 675 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/source+code+and+guis/Mapping+Toolbox/pmc06853901-35-12-15
    Average 96 stars, based on 675 article reviews
    open source customisable matlab based analysis toolbox - by Bioz Stars, 2026-11
    96/100 stars

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    Related Articles

    other:

    Article Title: Sixty years of observations and future projections of nine declining North American glaciers.
    Article Snippet: Basemap imagery (Fig. 1) is from the MATLAB Mapping Toolbox MTRI is also acknowledged for any related publication costs.

    Article Title: Moral inconsistency is based on the vmPFC's insufficient representation across tasks and connectedness.
    Article Snippet: All images were preprocessed using MATLAB toolbox Statistical Parametric Mapping (SPM12; www.fil.ion.ucl.ac.uk/spm) and custom code.

    Imaging:

    Article Title: Neuronal populations across the cortex underlie discrete, categorical, and subjective representations of visual durations
    Article Snippet: We performed the entire procedure using custom functions in MATLAB. shows the fitting result for a representative vertex. .. We conducted our analyses within a set of ROIs identified using a mass-univariate GLM approach performed with the Statistical Parametric Mapping toolbox in MATLAB (SPM12, version 7219, Wellcome Department of Imaging Neuroscience, University College London). ..

    Clinical Proteomics:

    Article Title: Cognitive and brain reserve in bilingual speakers with clinical AD variants
    Article Snippet: .. MR images were bias-corrected, segmented into gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF)[ ] and normalized to Montreal Neurological Institute (MNI) using an optimized geodesic shooting procedure[ ] in CAT12 toolbox via Statistical Parametric Mapping (SPM[ ] running in MATLAB version 2022b ( The MathWorks Inc ., 2022 ). ..

    Functional Assay:

    Article Title: Left dorsomedial prefrontal cortex hyperactivation reflects early compensation for emerging social cognition difficulties in multiple sclerosis
    Article Snippet: .. Functional MRI data were preprocessed using the Statistical Parametric Mapping toolbox (SPM12, https://www.fil.ion.ucl.ac.uk/spm/ ) running on MATLAB (MathWorks, https://it.mathworks.com/products/matlab.html ), following a standard pipeline. ..

    Magnetic Resonance Imaging:

    Article Title: Left dorsomedial prefrontal cortex hyperactivation reflects early compensation for emerging social cognition difficulties in multiple sclerosis
    Article Snippet: .. Functional MRI data were preprocessed using the Statistical Parametric Mapping toolbox (SPM12, https://www.fil.ion.ucl.ac.uk/spm/ ) running on MATLAB (MathWorks, https://it.mathworks.com/products/matlab.html ), following a standard pipeline. ..



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    gui source code  (MathWorks Inc)
    90
    MathWorks Inc gui source code
    <t>GUI</t> for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file <t>(NIfTI),</t> <t>MATLAB</t> workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.
    Gui Source Code, 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/source+code+and+guis/pmc09032020-51-1-9
    Average 90 stars, based on 1 article reviews
    gui source code - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    source code and guis  (MathWorks Inc)
    90
    MathWorks Inc source code and guis
    <t>GUI</t> for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file <t>(NIfTI),</t> <t>MATLAB</t> workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.
    Source Code And Guis, 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/source+code+and+guis/pmc05332402-92-9-2
    Average 90 stars, based on 1 article reviews
    source code and guis - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    GUI for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file (NIfTI), MATLAB workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.

    Journal: Diagnostics

    Article Title: Novel User-Friendly Application for MRI Segmentation of Brain Resection following Epilepsy Surgery

    doi: 10.3390/diagnostics12041017

    Figure Lengend Snippet: GUI for the resection segmentation. ( A ): Interface to select postoperative MRI and preoperative brain-mask files, or the patient’s Brainstorm anatomy folder that contains them. ( B ): Slider to select tolerance threshold (default: optimal value). ( C ): Interface to place the initial seed using an MRI viewer (see ) or entering its coordinates. The user can set an additional ROI for region growing by entering its ranges (this is optional, see ). ( D ): Options to exclude brain ventricles and/or generate the anatomical report through a brain parcellation file, which must be selected. E and F: the user can change the view ( E ) and slice ( F ) to visualize the postoperative MRI and resection model shown in G. ( G ): Preview of results (left: postoperative MRI; middle: resection model, right: automated report and resection volume in cm 3 ). ( H ): Buttons to run the segmentation (“Calculate”), or to export results to a file (NIfTI), MATLAB workspace, or directly to the initial Brainstorm anatomy folder. Status LED turns red in case of error (green otherwise). “Show 3D” button shows the resection model (see ), while “Reset” allows to reset all settings and run again.

    Article Snippet: The GUI source code is freely available as a MATLAB-based application ( https://github.com/rbillardello/BrainResectionApp (accessed on 14 April 2022)).

    Techniques: