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greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
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Showing 1,321 - 1,340 results of 13,046 for search '(( significant ((side decrease) OR (greatest decrease)) ) OR ( significant increase decrease ))', query time: 0.59s Refine Results
  1. 1321
    Contribution of changes in population aging, population growth, and age-specific incidence rate to changes in incident cases of LC from 2004 to 2018 in China.

    Contribution of changes in population aging, population growth, and age-specific incidence rate to changes in incident cases of LC from 2004 to 2018 in China. by Ze-Xing Zhang (18074512)

    Published 2025
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  2. 1322
    Minimal data set.

    Minimal data set. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  3. 1323
    Univariate and multivariate analysis of variables associated with good and poor responders to TFESI.

    Univariate and multivariate analysis of variables associated with good and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  4. 1324
    The correlation between clinical presentations and baseline serum inflammatory cytokines before TFESI.

    The correlation between clinical presentations and baseline serum inflammatory cytokines before TFESI. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  5. 1325
    The serum concentrations of cytokines between good responders and poor responders to TFESI.

    The serum concentrations of cytokines between good responders and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  6. 1326
    Demographic data and baseline characteristics between good and poor responders to TFESI.

    Demographic data and baseline characteristics between good and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  7. 1327
    The correlation between the duration of pain symptoms and baseline serum inflammatory cytokine levels before TFESI.

    The correlation between the duration of pain symptoms and baseline serum inflammatory cytokine levels before TFESI. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  8. 1328
    Supplementary results_detailed.

    Supplementary results_detailed. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  9. 1329
    Architecture of Multi-Layer U-Net Model.

    Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

    Published 2025
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  10. 1330
    GM Mask image count after preprocessing.

    GM Mask image count after preprocessing. by Muhammad Zubair (728141)

    Published 2025
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  11. 1331
    Proposed Multi-Layer U-Net model for gray matter segmentation.

    Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

    Published 2025
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  12. 1332
    Gray Matter segmentation results using the proposed Multi-layer U-Net Model.

    Gray Matter segmentation results using the proposed Multi-layer U-Net Model. by Muhammad Zubair (728141)

    Published 2025
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  13. 1333
    Gray matter segmentation results using the Attention U-Net model.

    Gray matter segmentation results using the Attention U-Net model. by Muhammad Zubair (728141)

    Published 2025
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  14. 1334
    Gray matter segmented views of the brain.

    Gray matter segmented views of the brain. by Muhammad Zubair (728141)

    Published 2025
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  15. 1335
    Performance metrics of the standard U-Net (Vanilla U-Net) for the brain segmentation.

    Performance metrics of the standard U-Net (Vanilla U-Net) for the brain segmentation. by Muhammad Zubair (728141)

    Published 2025
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  16. 1336
    Architecture of Multi-EfficientNet.

    Architecture of Multi-EfficientNet. by Muhammad Zubair (728141)

    Published 2025
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  17. 1337
    Average Saliency Map Results.

    Average Saliency Map Results. by Muhammad Zubair (728141)

    Published 2025
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  18. 1338
    Visual comparison of Brain segmentation results.

    Visual comparison of Brain segmentation results. by Muhammad Zubair (728141)

    Published 2025
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  19. 1339
    Comparative evaluation of gray matter segmentation using Multi-Layer U-Net, Vanilla U-Net, Attention U-Net, and state-of-the-art methods. The results of the proposed model are calculated on the test set.

    Comparative evaluation of gray matter segmentation using Multi-Layer U-Net, Vanilla U-Net, Attention U-Net, and state-of-the-art methods. The results of the proposed model are calc... by Muhammad Zubair (728141)

    Published 2025
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  20. 1340
    ROC curve for the proposed Classification model across AD, MCI, and CN.

    ROC curve for the proposed Classification model across AD, MCI, and CN. by Muhammad Zubair (728141)

    Published 2025
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