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conrad api  (MathWorks Inc)


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    MathWorks Inc conrad api
    Screenshot of an implementation of a GUI using <t>CONRAD.</t> All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.
    Conrad Api, 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/conrad api/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    conrad api - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "CONRAD—A software framework for cone-beam imaging in radiology"

    Article Title: CONRAD—A software framework for cone-beam imaging in radiology

    Journal: Medical Physics

    doi: 10.1118/1.4824926

    Screenshot of an implementation of a GUI using CONRAD. All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.
    Figure Legend Snippet: Screenshot of an implementation of a GUI using CONRAD. All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.

    Techniques Used:

    General structure of CONRAD. All algorithms and functions are separated from the user interface. This allows first algorithm design close to a GUI while large scale experiments can be executed on a cluster via command line interface. Of course other applications can also access CONRAD. Many of its algorithms are embedded into ImageJ plugins as an example of the API use.
    Figure Legend Snippet: General structure of CONRAD. All algorithms and functions are separated from the user interface. This allows first algorithm design close to a GUI while large scale experiments can be executed on a cluster via command line interface. Of course other applications can also access CONRAD. Many of its algorithms are embedded into ImageJ plugins as an example of the API use.

    Techniques Used:

    Graphical representation of the parallel processing scheme on multiple resources. For the user and the developer of CONRAD parallelizing algorithms is a minor concern: CONRAD plans and distributes a parallel algorithm automatically on the available hardware. The streaming concept in CONRAD allows the use of parallel streams. Here, the processing pipeline for a 3D reconstruction is shown. All data are streamed from a projection source, that is, either a scanner or an offline file through the pipeline. After the projection domain filter, the next three steps can be performed in parallel (here: on four parallel CPUs). This is followed by a step that uses the graphics card exclusively again. Hence, the data have to be buffered and the step cannot be performed in parallel, as there is only 1 GPU in the system. The next step can be performed in parallel again followed by the last step, which collects the data in an image data sink, e.g., a file container.
    Figure Legend Snippet: Graphical representation of the parallel processing scheme on multiple resources. For the user and the developer of CONRAD parallelizing algorithms is a minor concern: CONRAD plans and distributes a parallel algorithm automatically on the available hardware. The streaming concept in CONRAD allows the use of parallel streams. Here, the processing pipeline for a 3D reconstruction is shown. All data are streamed from a projection source, that is, either a scanner or an offline file through the pipeline. After the projection domain filter, the next three steps can be performed in parallel (here: on four parallel CPUs). This is followed by a step that uses the graphics card exclusively again. Hence, the data have to be buffered and the step cannot be performed in parallel, as there is only 1 GPU in the system. The next step can be performed in parallel again followed by the last step, which collects the data in an image data sink, e.g., a file container.

    Techniques Used:

    CONRAD offers the possibility to reconstruct data from various systems. We show reconstructions using the table top system on the left and a Siemens zeego system shown on the right. Both systems are installed at the Stanford University.
    Figure Legend Snippet: CONRAD offers the possibility to reconstruct data from various systems. We show reconstructions using the table top system on the left and a Siemens zeego system shown on the right. Both systems are installed at the Stanford University.

    Techniques Used:



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    MathWorks Inc conrad api
    Screenshot of an implementation of a GUI using <t>CONRAD.</t> All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.
    Conrad Api, 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/conrad api/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    conrad api - by Bioz Stars, 2026-05
    90/100 stars
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    Screenshot of an implementation of a GUI using CONRAD. All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.

    Journal: Medical Physics

    Article Title: CONRAD—A software framework for cone-beam imaging in radiology

    doi: 10.1118/1.4824926

    Figure Lengend Snippet: Screenshot of an implementation of a GUI using CONRAD. All algorithms that are used are reported with the respective citation. Supported formats are the Medline and BibTeX citations styles.

    Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

    Techniques:

    General structure of CONRAD. All algorithms and functions are separated from the user interface. This allows first algorithm design close to a GUI while large scale experiments can be executed on a cluster via command line interface. Of course other applications can also access CONRAD. Many of its algorithms are embedded into ImageJ plugins as an example of the API use.

    Journal: Medical Physics

    Article Title: CONRAD—A software framework for cone-beam imaging in radiology

    doi: 10.1118/1.4824926

    Figure Lengend Snippet: General structure of CONRAD. All algorithms and functions are separated from the user interface. This allows first algorithm design close to a GUI while large scale experiments can be executed on a cluster via command line interface. Of course other applications can also access CONRAD. Many of its algorithms are embedded into ImageJ plugins as an example of the API use.

    Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

    Techniques:

    Graphical representation of the parallel processing scheme on multiple resources. For the user and the developer of CONRAD parallelizing algorithms is a minor concern: CONRAD plans and distributes a parallel algorithm automatically on the available hardware. The streaming concept in CONRAD allows the use of parallel streams. Here, the processing pipeline for a 3D reconstruction is shown. All data are streamed from a projection source, that is, either a scanner or an offline file through the pipeline. After the projection domain filter, the next three steps can be performed in parallel (here: on four parallel CPUs). This is followed by a step that uses the graphics card exclusively again. Hence, the data have to be buffered and the step cannot be performed in parallel, as there is only 1 GPU in the system. The next step can be performed in parallel again followed by the last step, which collects the data in an image data sink, e.g., a file container.

    Journal: Medical Physics

    Article Title: CONRAD—A software framework for cone-beam imaging in radiology

    doi: 10.1118/1.4824926

    Figure Lengend Snippet: Graphical representation of the parallel processing scheme on multiple resources. For the user and the developer of CONRAD parallelizing algorithms is a minor concern: CONRAD plans and distributes a parallel algorithm automatically on the available hardware. The streaming concept in CONRAD allows the use of parallel streams. Here, the processing pipeline for a 3D reconstruction is shown. All data are streamed from a projection source, that is, either a scanner or an offline file through the pipeline. After the projection domain filter, the next three steps can be performed in parallel (here: on four parallel CPUs). This is followed by a step that uses the graphics card exclusively again. Hence, the data have to be buffered and the step cannot be performed in parallel, as there is only 1 GPU in the system. The next step can be performed in parallel again followed by the last step, which collects the data in an image data sink, e.g., a file container.

    Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

    Techniques:

    CONRAD offers the possibility to reconstruct data from various systems. We show reconstructions using the table top system on the left and a Siemens zeego system shown on the right. Both systems are installed at the Stanford University.

    Journal: Medical Physics

    Article Title: CONRAD—A software framework for cone-beam imaging in radiology

    doi: 10.1118/1.4824926

    Figure Lengend Snippet: CONRAD offers the possibility to reconstruct data from various systems. We show reconstructions using the table top system on the left and a Siemens zeego system shown on the right. Both systems are installed at the Stanford University.

    Article Snippet: Based on MATLAB's Java functionality, the CONRAD API can be incorporated as is into the MATLAB environment.

    Techniques: