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increase decrease » increased release (Expand Search), increased crash (Expand Search)
side decrease » sizes decrease (Expand Search), fid decreased (Expand Search), we decrease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
Showing 1,341 - 1,360 results of 13,123 for search '(( significant ((side decrease) OR (step decrease)) ) OR ( significant increase decrease ))', query time: 0.47s Refine Results
  1. 1341
    HSJ and controls stratified by timing for CS and parity.

    HSJ and controls stratified by timing for CS and parity. by Eva Rydahl (6260771)

    Published 2025
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  2. 1342
    Minimal data set.

    Minimal data set. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  3. 1343
    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. 1344
    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. 1345
    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. 1346
    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. 1347
    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. 1348
    Supplementary results_detailed.

    Supplementary results_detailed. by Pornpan Chalermkitpanit (22110121)

    Published 2025
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  9. 1349
    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. 1350
    GM Mask image count after preprocessing.

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

    Published 2025
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  11. 1351
    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. 1352
    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. 1353
    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. 1354
    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. 1355
    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. 1356
    Architecture of Multi-EfficientNet.

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

    Published 2025
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  17. 1357
    Average Saliency Map Results.

    Average Saliency Map Results. by Muhammad Zubair (728141)

    Published 2025
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  18. 1358
    Visual comparison of Brain segmentation results.

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

    Published 2025
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  19. 1359
    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. 1360
    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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