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matlab's built-in functions for handling graphs with directed edges and weighted adjacency matrices  (MathWorks Inc)


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    MathWorks Inc matlab's built-in functions for handling graphs with directed edges and weighted adjacency matrices
    Matlab's Built In Functions For Handling Graphs With Directed Edges And Weighted Adjacency Matrices, 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/result/matlab's built-in functions for handling graphs with directed edges and weighted adjacency matrices/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab's built-in functions for handling graphs with directed edges and weighted adjacency matrices - by Bioz Stars, 2026-03
    90/100 stars

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    Radiomic features SERA calculates in each feature family. Different 2D, 2.5D, and 3D configurations are explained in detail in the IBSI guideline. Users can set to return only a selected subset of these features. Standardized Environment for Radiomics Analysis (SERA) is our standardized in-house-developed radiomics framework.

    Journal: Cureus

    Article Title: Standardized Radiomics Analysis of Clinical Myocardial Perfusion Stress SPECT Images to Identify Coronary Artery Calcification

    doi: 10.7759/cureus.43343

    Figure Lengend Snippet: Radiomic features SERA calculates in each feature family. Different 2D, 2.5D, and 3D configurations are explained in detail in the IBSI guideline. Users can set to return only a selected subset of these features. Standardized Environment for Radiomics Analysis (SERA) is our standardized in-house-developed radiomics framework.

    Article Snippet: Our workflow then exported the 3D SPECT image and these 22 contours as 3D MATLAB ® matrices for analysis.

    Techniques:

    List of radiomics features calculated by SERA for Configuration D of IBSI CT phantom. SERA shows great compliance with IBSI with 99.8% match in calculated results. Refer to [ <xref ref-type= 28 ] for the standardized definitions of radiomic features and acronyms based on the Image Biomarker Standardization Initiative (IBSI) guidelines. Standardized Environment for Radiomics Analysis (SERA) is our standardized in-house-developed radiomics framework." width="100%" height="100%">

    Journal: Cureus

    Article Title: Standardized Radiomics Analysis of Clinical Myocardial Perfusion Stress SPECT Images to Identify Coronary Artery Calcification

    doi: 10.7759/cureus.43343

    Figure Lengend Snippet: List of radiomics features calculated by SERA for Configuration D of IBSI CT phantom. SERA shows great compliance with IBSI with 99.8% match in calculated results. Refer to [ 28 ] for the standardized definitions of radiomic features and acronyms based on the Image Biomarker Standardization Initiative (IBSI) guidelines. Standardized Environment for Radiomics Analysis (SERA) is our standardized in-house-developed radiomics framework.

    Article Snippet: Our workflow then exported the 3D SPECT image and these 22 contours as 3D MATLAB ® matrices for analysis.

    Techniques: Biomarker Discovery, Dispersion