matlab-based randomization graphical user interface (ragu) software-package Search Results


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MathWorks Inc matlab-based graphical user interface (gui)
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MathWorks Inc matlab-based randomization graphical user interface (ragu) software-package
Matlab Based Randomization Graphical User Interface (Ragu) Software Package, 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
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MathWorks Inc graphical user interface (gui)-based software package
Graphical User Interface (Gui) Based Software Package, 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
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MathWorks Inc patlab
Comparison of <t>five</t> <t>PAT</t> reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in <t>PATLAB.</t> (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.
Patlab, 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
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MathWorks Inc matlab-based packages
Comparison of <t>five</t> <t>PAT</t> reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in <t>PATLAB.</t> (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.
Matlab Based Packages, 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
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MathWorks Inc point-pattern-analysis code package
Comparison of <t>five</t> <t>PAT</t> reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in <t>PATLAB.</t> (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.
Point Pattern Analysis Code Package, 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
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MathWorks Inc isc toolbox
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
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MathWorks Inc matlab-based standalone package
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
Matlab Based Standalone Package, 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
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MathWorks Inc visualization tool
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
Visualization Tool, 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
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MathWorks Inc hdmr software method
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
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MathWorks Inc biomechanics of bodies (bob) tool
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
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GraphPad Software Inc graphpad prism 4
<t>ISC</t> Toolbox's <t>startup</t> <t>GUI</t> where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .
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Image Search Results


Comparison of five PAT reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in PATLAB. (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.

Journal: Photoacoustics

Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

doi: 10.1016/j.pacs.2022.100404

Figure Lengend Snippet: Comparison of five PAT reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in PATLAB. (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.

Article Snippet: In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction.

Techniques: Comparison

Metadata

Journal: Photoacoustics

Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

doi: 10.1016/j.pacs.2022.100404

Figure Lengend Snippet: Metadata

Article Snippet: In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction.

Techniques: Software

ISC Toolbox's startup GUI where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .

Journal: Frontiers in Neuroinformatics

Article Title: A versatile software package for inter-subject correlation based analyses of fMRI

doi: 10.3389/fninf.2014.00002

Figure Lengend Snippet: ISC Toolbox's startup GUI where user can define the parameters for analysis, test them, run the ISC based computations and launch a separate GUI for visualization of the results .

Article Snippet: In this paper, we present a graphical user interface (GUI) based software package, ISC Toolbox, implemented in Matlab for computing various ISC based analyses.

Techniques: