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Showing 141 - 160 results of 1,310 for search '(((( algorithm fc function ) OR ( algorithm brain functional ))) OR ( algorithm python function ))*', query time: 0.32s Refine Results
  1. 141
    Distributions of optimized coupling parameters and median FC strengths for males and females.

    Distributions of optimized coupling parameters and median FC strengths for males and females. by Kevin J. Wischnewski (21354521)

    Published 2025
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  2. 142
    Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  3. 143
    Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  4. 144
    Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  5. 145
    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  6. 146
    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.docx

    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  7. 147
    Data_Sheet_2_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_2_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…”
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  8. 148
    Presentation_1_Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury.zip

    Presentation_1_Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury.zip by Marios Antonakakis (8304126)

    Published 2020
    “…<p>Dynamic Functional Connectivity (DFC) analysis is a promising approach for the characterization of brain electrophysiological activity. …”
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  9. 149
    Parameters to configure the multi-staged vascularization using the PDCCO algorithm.

    Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

    Published 2025
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  10. 150
    Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network

    Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

    Published 2025
    “…<p>Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. …”
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  11. 151
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  12. 152
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  13. 153
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  14. 154
    Fig 1 -

    Fig 1 - by Anant Shinde (3954662)

    Published 2023
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  15. 155
    The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation.

    The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation. by Anant Shinde (3954662)

    Published 2023
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  16. 156
    VAS tolerability scores (min = 0, max = 10) of all sessions of all participants.

    VAS tolerability scores (min = 0, max = 10) of all sessions of all participants. by Anant Shinde (3954662)

    Published 2023
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  17. 157
    Fig 6 -

    Fig 6 - by Anant Shinde (3954662)

    Published 2023
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  18. 158
    Accuracy across different ROIs for the classification shown by various models.

    Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

    Published 2023
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  19. 159
    Data preprocessing flow-chart.

    Data preprocessing flow-chart. by Anant Shinde (3954662)

    Published 2023
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  20. 160
    Time taken for data processing up to prediction, varying the number of ROIs used.

    Time taken for data processing up to prediction, varying the number of ROIs used. by Anant Shinde (3954662)

    Published 2023
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