Výsledky vyhledávání - Michael H. Goldbaum

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  1. 1
    Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels

    Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels Autor Adam Hoover, Michael H. Goldbaum

    Vydáno 2003
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  2. 2
    Predicting Glaucoma before Onset Using Deep Learning

    Predicting Glaucoma before Onset Using Deep Learning Autor Anshul Thakur, Michael H. Goldbaum, Siamak Yousefi

    Vydáno 2020
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  3. 3
    Angioid streaks and sickle haemoglobinopathies.

    Angioid streaks and sickle haemoglobinopathies. Autor Krishan C. Nagpal, George K. Asdourian, Michael H. Goldbaum, D. J. Apple, Morton F. Goldberg

    Vydáno 1976
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  4. 4
    Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images

    Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images Autor Michael H. Goldbaum, S. Moezzi, Adam Taylor, S. Chatterjee, John P. Boyd, Edd Hunter, Richa N Jain

    Vydáno 2002
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  5. 5
    Macular and perimacular vascular remodelling sickling haemoglobinopathies.

    Macular and perimacular vascular remodelling sickling haemoglobinopathies. Autor George K. Asdourian, Krishan C. Nagpal, B. Busse, Michael H. Goldbaum, D Patriankos, Maurice F. Rabb, Morton F. Goldberg

    Vydáno 1976
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  6. 6
    Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers

    Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers Autor Linda M. Zangwill, Kwokleung Chan, Christopher Bowd, Jicuang Hao, Te-Won Lee, Robert N. Weinreb, Terrence J. Sejnowski, Michael H. Goldbaum

    Vydáno 2004
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  7. 7
    Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

    Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression Autor Mark Christopher, Akram Belghith, Robert N. Weinreb, Christopher Bowd, Michael H. Goldbaum, Luke J. Saunders, Felipe A. Medeiros, Linda M. Zangwill

    Vydáno 2018
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  8. 8
    Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements

    Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements Autor Christopher Bowd, Felipe A. Medeiros, Zuohua Zhang, Linda M. Zangwill, Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski, Robert N. Weinreb, Michael H. Goldbaum

    Vydáno 2005
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  9. 9
    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 Autor Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Robert N. Weinreb, Christopher Bowd

    Vydáno 2014
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  10. 10
    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 Autor Siamak Yousefi, Madhusudhanan Balasubramanian, Michael H. Goldbaum, Felipe A. Medeiros, Linda M. Zangwill, Robert N. Weinreb, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd

    Vydáno 2016
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  11. 11
    Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

    Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs Autor Mark Christopher, Akram Belghith, Christopher Bowd, James A. Proudfoot, Michael H. Goldbaum, Robert N. Weinreb, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Vydáno 2018
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  12. 12
    Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps

    Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps Autor Mark Christopher, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Vydáno 2019
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  13. 13
    Gradient-Boosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma

    Gradient-Boosting Classifiers Combining Vessel Density and Tissue Thickness Measurements for Classifying Early to Moderate Glaucoma Autor Christopher Bowd, Akram Belghith, James A. Proudfoot, Linda M. Zangwill, Mark Christopher, Michael H. Goldbaum, Huiyuan Hou, Rafaella C. Penteado, Sasan Moghimi, Robert N. Weinreb

    Vydáno 2020
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  14. 14
    Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes

    Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes Autor Christopher Bowd, Akram Belghith, Linda M. Zangwill, Mark Christopher, Michael H. Goldbaum, Rui Fan, Jasmin Rezapour, Sasan Moghimi, Alireza Kamalipour, Huiyuan Hou, Robert N. Weinreb

    Vydáno 2021
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  15. 15
    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 Autor 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

    Vydáno 2014
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  16. 16
    Prevalence of subclinical retinal ischemia in patients with cardiovascular disease – a hypothesis driven study

    Prevalence of subclinical retinal ischemia in patients with cardiovascular disease – a hypothesis driven study Autor Christopher P. Long, Alison Chan, Christine Y. Bakhoum, Christopher B. Toomey, Samantha Madala, Anupam Garg, William R. Freeman, Michael H. Goldbaum, Anthony N. DeMaria, Mathieu F. Bakhoum

    Vydáno 2021
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  17. 17
    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 Autor 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

    Vydáno 2014
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  18. 18
    Retinal Ischemic Perivascular Lesions in Individuals With Atrial Fibrillation

    Retinal Ischemic Perivascular Lesions in Individuals With Atrial Fibrillation Autor Christine Y. Bakhoum, Samantha Madala, Leonardo Landó, Adeleh Yarmohammadi, Christopher P. Long, Sofia Miguez, Alison Chan, Maxwell Singer, Andrew Jin, Benjamin Steren, Fatemeh Adabifirouzjaei, Michael H. Goldbaum, Anthony N. DeMaria, David Sarraf, Mathieu F. Bakhoum

    Vydáno 2023
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  19. 19
    Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions

    Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions Autor Rui Fan, Kamran Alipour, Christopher Bowd, Mark Christopher, Nicole Brye, James A. Proudfoot, Michael H. Goldbaum, Akram Belghith, Christopher A. Girkin, Massimo A. Fazio, Jeffrey M. Liebmann, Robert N. Weinreb, Michael J. Pazzani, David Kriegman, Linda M. Zangwill

    Vydáno 2022
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  20. 20
    Loss of polycomb repressive complex 1 activity and chromosomal instability drive uveal melanoma progression

    Loss of polycomb repressive complex 1 activity and chromosomal instability drive uveal melanoma progression Autor Mathieu F. Bakhoum, Jasmine H. Francis, Albert S. Agustinus, Ethan M. Earlie, Melody Di Bona, David H. Abramson, Mercedes A. Duran Paez, Ignas Masilionis, Elsa Molina, Alexander N. Shoushtari, Michael H. Goldbaum, Paul S. Mischel, Samuel F. Bakhoum, Ashley M. Laughney

    Vydáno 2021
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