Хайлтын үр дүнгүүд - Madhusudhanan Balasubramanian

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  1. 1
    Spectral domain-optical coherence tomography to detect localized retinal nerve fiber layer defects in glaucomatous eyes

    Spectral domain-optical coherence tomography to detect localized retinal nerve fiber layer defects in glaucomatous eyes -н Gianmarco Vizzeri, Madhusudhanan Balasubramanian, Christopher Bowd, Robert N. Weinreb, Felipe A. Medeiros, Linda M. Zangwill

    Хэвлэсэн 2009
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    Artigo
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  2. 2
    Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements

    Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements -н Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Robert N. Weinreb, Christopher Bowd

    Хэвлэсэн 2014
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    Artigo
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  3. 3
    Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields

    Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields -н Siamak Yousefi, Madhusudhanan Balasubramanian, Michael H. Goldbaum, Felipe A. Medeiros, Linda M. Zangwill, Robert N. Weinreb, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd

    Хэвлэсэн 2016
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    Artigo
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  4. 4
    Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

    Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points -н Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Tzyy‐Ping Jung, Robert N. Weinreb, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd

    Хэвлэсэн 2014
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    Artigo
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  5. 5
    Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers

    Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers -н Christopher Bowd, Robert N. Weinreb, Madhusudhanan Balasubramanian, Intae Lee, Gil‐Jin Jang, Siamak Yousefi, Linda M. Zangwill, Felipe A. Medeiros, Christopher A. Girkin, Jeffrey M. Liebmann, Michael H. Goldbaum

    Хэвлэсэн 2014
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    Artigo
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