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Showing 1 - 16 results of 16 for search 'multiple motion detection algorithm', query time: 0.15s Refine Results
  1. 1
    Data processing flow diagram.

    Data processing flow diagram. by Carl D. Snyder (20868650)

    Published 2025
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  2. 2
    Workflow to extract and define myocardial motion and deformation patterns during early heart morphogenesis.

    Workflow to extract and define myocardial motion and deformation patterns during early heart morphogenesis. by Morena Raiola (22439390)

    Published 2025
    “…The computational workflow comprises four main components: 1) Estimating Individual Live Image Motion (blue shapes): Following image preprocessing, we extracted the underlying motion using a non-rigid registration algorithm, resulting in a set of Transformation. …”
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  3. 3
    Image 2_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg

    Image 2_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  4. 4
    Image 4_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg

    Image 4_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  5. 5
    Image 3_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg

    Image 3_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  6. 6
    Image 1_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg

    Image 1_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  7. 7
    Image 5_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg

    Image 5_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.jpeg by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  8. 8
    Data Sheet 1_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.pdf

    Data Sheet 1_Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study.pdf by Dibash Basukala (20772110)

    Published 2025
    “…Introduction<p>The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides imaging biomarkers for breast tumor characterization. …”
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  9. 9
    Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties

    Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties by Shenzhuo Zhang (20960274)

    Published 2025
    “…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”
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  10. 10
    Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties

    Ultralong-Range Sensing of Non-Contact Triboelectric Nanogenerator via Synergistic Design of Porous Microspheres and High Dielectric Properties by Shenzhuo Zhang (20960274)

    Published 2025
    “…In addition, with deep learning algorithms optimizing recognition, the system can accurately distinguish multiple human dynamic behaviors, such as walking, running, and jumping, within the aforementioned distances. …”
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  11. 11
    Image 5_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

    Image 5_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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  12. 12
    Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

    Image 4_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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  13. 13
    Image 2_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

    Image 2_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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  14. 14
    Image 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

    Image 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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  15. 15
    Image 3_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg

    Image 3_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.jpeg by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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  16. 16
    Data Sheet 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.pdf

    Data Sheet 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.pdf by Tim Unger (20457145)

    Published 2025
    “…Each participant performed multiple repetitions of the drinking task while being recorded by multiple cameras and an optical motion capture system (OMC) for kinematic ground truth. …”
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