Showing 41 - 60 results of 1,871 for search '(( ct ((values decrease) OR (largest decrease)) ) OR ( a ((teer decrease) OR (linear decrease)) ))', query time: 0.49s Refine Results
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    Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

    Published 2024
    “…All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. …”
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    Evaluation results. by Briya Tariq (19666901)

    Published 2024
    “…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”
  6. 46

    Dataset with steel insert. by Briya Tariq (19666901)

    Published 2024
    “…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”
  7. 47

    Reference dataset. by Briya Tariq (19666901)

    Published 2024
    “…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”
  8. 48

    Dataset with aluminium insert. by Briya Tariq (19666901)

    Published 2024
    “…<div><p>Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking development in CT technology, has immense potential to address the persistent problem of metal artefacts in CT images. …”
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    Multiple linear regression analysis results. by Muxi Chen (9294270)

    Published 2025
    “…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”
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    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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