Search Results - Khanna, N.

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  1. 1
    Snakes assisted food image segmentation

    Snakes assisted food image segmentation by He, Y., Khanna, N., Boushey, Carol, Delp, E.

    Published 2012
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  2. 2
    Specular highlight removal for image-based dietary assessment

    Specular highlight removal for image-based dietary assessment by He, Y., Khanna, N., Boushey, Carol, Delp, E.

    Published 2012
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  3. 3
    Image segmentation for image-based dietary assessment: A comparative study

    Image segmentation for image-based dietary assessment: A comparative study by He, Y., Khanna, N., Boushey, Carol, Delp, E.

    Published 2013
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  4. 4
    Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality

    Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality by Eicher-Miller, H., Khanna, N., Boushey, Carol, Gelfand, S., Delp, E.

    Published 2016
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  5. 5
    Context based food image analysis

    Context based food image analysis by He, Y., Xu, C., Khanna, N., Boushey, Carol, Delp, E.

    Published 2013
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  6. 6
    Model-based food volume estimation using 3D pose

    Model-based food volume estimation using 3D pose by Xu, C., He, Y., Khanna, N., Boushey, Carol, Delp, E.

    Published 2013
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  7. 7
    Analysis of food images: Features and classification

    Analysis of food images: Features and classification by He, Y., Xu, C., Khanna, N., Boushey, Carol, Delp, E.

    Published 2014
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  8. 8
    Multiple hypotheses image segmentation and classification with application to dietary assessment

    Multiple hypotheses image segmentation and classification with application to dietary assessment by Zhu, F., Bosch, M., Khanna, N., Boushey, Carol, Delp, E.

    Published 2015
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  9. 9
    Image enhancement and quality measures for dietary assessment using mobile devices

    Image enhancement and quality measures for dietary assessment using mobile devices by Xu, C., Zhu, F., Khanna, N., Boushey, Carol, Delp, E.

    Published 2012
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  10. 10
    Food image analysis: Segmentation, identification and weight estimation

    Food image analysis: Segmentation, identification and weight estimation by He, Y., Xu, C., Khanna, N., Boushey, Carol, Delp, E.

    Published 2013
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  11. 11
    A mobile phone user interface for image-based dietary assessment

    A mobile phone user interface for image-based dietary assessment by Ahmad, Ziad, Khanna, N., Kerr, Deborah, Boushey, C., Delp, E.

    Published 2014
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  12. 12
    Integrated database system for mobile dietary assessment and analysis

    Integrated database system for mobile dietary assessment and analysis by Bosch, M., Schap, T., Zhu, F., Khanna, N., Boushey, Carol, Delp, E.

    Published 2011
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  13. 13
    Modified dynamic time warping (MDTW) for estimating temporal dietary patterns

    Modified dynamic time warping (MDTW) for estimating temporal dietary patterns by Khanna, N., Eicher-Miller, H., Verma, H., Boushey, Carol, Gelfand, S., Delp, E.

    Published 2018
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  14. 14
    Image-based food volume estimation

    Image-based food volume estimation by Xu, C., He, Y., Parra, A., Delp, E., Khanna, N., Boushey, Carol

    Published 2013
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  15. 15
    An overview of the Technology Assisted Dietary Assessment project at Purdue University

    An overview of the Technology Assisted Dietary Assessment project at Purdue University by Khanna, N., Boushey, C., Kerr, Deborah, Okos, M., Ebert, D., Delp, E.

    Published 2010
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  16. 16
    Segmentation assisted food classification for dietary assessment

    Segmentation assisted food classification for dietary assessment by Zhu, F., Bosch, M., Schap, T., Khanna, N., Ebert, D., Boushey, Carol, Delp, E.

    Published 2011
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  17. 17
    A mobile food record for integrated dietary assessment

    A mobile food record for integrated dietary assessment by Ahmad, Ziad, Bosch, M., Khanna, N., Kerr, D., Boushey, C., Zhu, F., Delp, E.

    Published 2016
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