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Showing 1,281 - 1,300 results of 21,342 for search '(( significant bins decrease ) OR ( ((significant decrease) OR (significant increase)) decrease ))', query time: 0.49s Refine Results
  1. 1281
    Distribution of rs12529 (C15G) genotypes in patients with different tumor grades.

    Distribution of rs12529 (C15G) genotypes in patients with different tumor grades. by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  2. 1282
    Distribution of rs12529 (C15G) genotypes in patients with different tumor sizes.

    Distribution of rs12529 (C15G) genotypes in patients with different tumor sizes. by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  3. 1283
    The radius of gyration of wild-type and mutant (H5Q) AKR1C3 (both complexed with the ligand, NADPH).

    The radius of gyration of wild-type and mutant (H5Q) AKR1C3 (both complexed with the ligand, NADPH). by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  4. 1284
    Root mean square deviation of wild-type AKR1C3 (green line) and mutant (H5Q) AKR1C3 (purple line) proteins.

    Root mean square deviation of wild-type AKR1C3 (green line) and mutant (H5Q) AKR1C3 (purple line) proteins. by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  5. 1285
    Root mean square fluctuations of the wild-type (green line) and mutant (H5Q) (purple line) proteins of AKR1C3 (complexed with the ligand NADPH).

    Root mean square fluctuations of the wild-type (green line) and mutant (H5Q) (purple line) proteins of AKR1C3 (complexed with the ligand NADPH). by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  6. 1286
    The solvent accessible surface area (SASA) of wild-type (green line) AKR1C3 (complexed with the ligand, NADPH) was lower than that of the mutant (purple line) AKR1C3 (complexed with the ligand, NADPH).

    The solvent accessible surface area (SASA) of wild-type (green line) AKR1C3 (complexed with the ligand, NADPH) was lower than that of the mutant (purple line) AKR1C3 (complexed wit... by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  7. 1287
    Representative restriction enzyme-digested products on a 2% agarose gel.

    Representative restriction enzyme-digested products on a 2% agarose gel. by Md. Akeruzzaman Shaon (21511929)

    Published 2025
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  8. 1288
    Architecture of Multi-Layer U-Net Model.

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

    Published 2025
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  9. 1289
    GM Mask image count after preprocessing.

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

    Published 2025
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  10. 1290
    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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  11. 1291
    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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  12. 1292
    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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  13. 1293
    Gray matter segmented views of the brain.

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

    Published 2025
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  14. 1294
    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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  15. 1295
    Architecture of Multi-EfficientNet.

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

    Published 2025
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  16. 1296
    Average Saliency Map Results.

    Average Saliency Map Results. by Muhammad Zubair (728141)

    Published 2025
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  17. 1297
    Visual comparison of Brain segmentation results.

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

    Published 2025
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  18. 1298
    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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  19. 1299
    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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  20. 1300
    Proposed hybrid framework for Alzheimer’s disease classification.

    Proposed hybrid framework for Alzheimer’s disease classification. by Muhammad Zubair (728141)

    Published 2025
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