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significant brain » significant strain (Expand Search), significant main (Expand Search), significant burden (Expand Search)
brain based » chain based (Expand Search), strains based (Expand Search), trained based (Expand Search)
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nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
Showing 1 - 20 results of 41,136 for search '(( significant brain based ) OR ( significant ((we decrease) OR (nn decrease)) ))', query time: 0.55s Refine Results
  1. 1
    NN analysis to assign the importance of variables.

    NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

    Published 2022
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  2. 2
    Cortical mapping of fraction of significant voxels.

    Cortical mapping of fraction of significant voxels. by Satoshi Nishida (690175)

    Published 2021
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  3. 3
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  4. 4
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  5. 5
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  6. 6
    Temporal profiles of the key BO-NN features.

    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…The shifts associated with non-significant prediction accuracies are greyed-out. <b>(c)</b> The results of the MDS for the key BO-NN features. …”
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  7. 7
    Principal component analyses indicates no significant separation based on the type of brain regions.

    Principal component analyses indicates no significant separation based on the type of brain regions. by Marcell Miski (11965487)

    Published 2022
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  8. 8
    Synthesis and visualisation of prior brain imaging and stimulation results involving reaching.

    Synthesis and visualisation of prior brain imaging and stimulation results involving reaching. by Aoife M. Fitzpatrick (13955365)

    Published 2022
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  9. 9
    Comparison of the fraction of significant voxels between original and control word vector-based models.

    Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

    Published 2021
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  10. 10
    Cortical mapping of the fraction of significant voxels for binary-labeling models.

    Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

    Published 2021
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  11. 11
    Distribution of voxels across functional brain networks in significant seed-based connectivity clusters.

    Distribution of voxels across functional brain networks in significant seed-based connectivity clusters. by Sadeq Mohammadi (22622219)

    Published 2025
    “…<p>Bar plot showing the number of voxels within each large-scale brain network for significant clusters derived from seed-based connectivity analysis. …”
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  12. 12
    Classification of the predictors based on the statistical significances.

    Classification of the predictors based on the statistical significances. by Tadashi Miyagawa (9547104)

    Published 2023
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  13. 13
    Attenuation reduction significance between OCAs.

    Attenuation reduction significance between OCAs. by Mathew Loren (6689951)

    Published 2019
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  14. 14
    Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors. by Satoshi Nishida (690175)

    Published 2021
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  15. 15
    Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

    Published 2021
    “…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”
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  16. 16
    Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors.

    Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors. by Satoshi Nishida (690175)

    Published 2021
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  17. 17
    Statistical summary of the two significant ROIs identified by ROI-based inference.

    Statistical summary of the two significant ROIs identified by ROI-based inference. by Sadeq Mohammadi (22622219)

    Published 2025
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  18. 18
    Consistency of inter-regional patterns of significant-voxel fraction for word2vec vectors.

    Consistency of inter-regional patterns of significant-voxel fraction for word2vec vectors. by Satoshi Nishida (690175)

    Published 2021
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  19. 19
    Cortical mapping of the fraction of significant voxels for other dimensions of word2vec vectors.

    Cortical mapping of the fraction of significant voxels for other dimensions of word2vec vectors. by Satoshi Nishida (690175)

    Published 2021
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  20. 20
    Attenuation reduction significance between time points.

    Attenuation reduction significance between time points. by Mathew Loren (6689951)

    Published 2019
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