Bilaketaren emaitzak - 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 nork Adam Hoover, Michael H. Goldbaum

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

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

    Argitaratua 2020
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  3. 3
    Angioid streaks and sickle haemoglobinopathies.

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

    Argitaratua 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 nork Michael H. Goldbaum, S. Moezzi, Adam Taylor, S. Chatterjee, John P. Boyd, Edd Hunter, Richa N Jain

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

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

    Argitaratua 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 nork Linda M. Zangwill, Kwokleung Chan, Christopher Bowd, Jicuang Hao, Te-Won Lee, Robert N. Weinreb, Terrence J. Sejnowski, Michael H. Goldbaum

    Argitaratua 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 nork Mark Christopher, Akram Belghith, Robert N. Weinreb, Christopher Bowd, Michael H. Goldbaum, Luke J. Saunders, Felipe A. Medeiros, Linda M. Zangwill

    Argitaratua 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 nork Christopher Bowd, Felipe A. Medeiros, Zuohua Zhang, Linda M. Zangwill, Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski, Robert N. Weinreb, Michael H. Goldbaum

    Argitaratua 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 nork Siamak Yousefi, Michael H. Goldbaum, Madhusudhanan Balasubramanian, Felipe A. Medeiros, Linda M. Zangwill, Jeffrey M. Liebmann, Christopher A. Girkin, Robert N. Weinreb, Christopher Bowd

    Argitaratua 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 nork Siamak Yousefi, Madhusudhanan Balasubramanian, Michael H. Goldbaum, Felipe A. Medeiros, Linda M. Zangwill, Robert N. Weinreb, Jeffrey M. Liebmann, Christopher A. Girkin, Christopher Bowd

    Argitaratua 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 nork Mark Christopher, Akram Belghith, Christopher Bowd, James A. Proudfoot, Michael H. Goldbaum, Robert N. Weinreb, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Argitaratua 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 nork Mark Christopher, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 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 nork 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

    Argitaratua 2021
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