Search Results - Chan, YL

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  1. 1
    Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data

    Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data by Ho, Cyrus SH, Chan, YL, Tan, Trevor WK, Tay, Gabrielle WN, Tang, TB

    Published 2022
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  2. 2
    Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs)

    Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs) by Chan, Y.L., Boon Tang, T.

    Published 2020
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  3. 3
    Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease

    Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease by Chan, Y.L., Ung, W.C., Lim, L.G., Lu, C.-K., Kiguchi, M., Tang, T.B.

    Published 2020
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  4. 4
    Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease

    Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease by Chan, Y.L., Ung, W.C., Lim, L.G., Lu, C.-K., Kiguchi, M., Tang, T.B.

    Published 2020
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  5. 5
    Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach

    Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach by Lim, L.G., Ung, W.C., Chan, Y.L., Lu, C.-K., Funane, T., Kiguchi, M., Tang, T.B.

    Published 2021
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  6. 6
    A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex

    A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex by Lim, L.G., Ung, W.C., Chan, Y.L., Lu, C.-K., Sutoko, S., Funane, T., Kiguchi, M., Tang, T.B.

    Published 2020
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  7. 7
    Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data

    Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data by Ho, C.S., Chan, Y.L., Tan, T.W., Tay, G.W., Tang, T.B.

    Published 2022
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  8. 8
    A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex

    A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex by Lim, L.G., Ung, W.C., Chan, Y.L., Lu, C.-K., Sutoko, S., Funane, T., Kiguchi, M., Tang, T.B.

    Published 2020
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