Rezultati - Akram Belghith

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  1. 1
    Estimating Optical Coherence Tomography Structural Measurement Floors to Improve Detection of Progression in Advanced Glaucoma

    Estimating Optical Coherence Tomography Structural Measurement Floors to Improve Detection of Progression in Advanced Glaucoma od Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, Felipe A. Medeiros, Akram Belghith

    Izdano 2016
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  2. 2
    Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

    Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA) od Akram Belghith, Christopher Bowd, Felipe A. Medeiros, Naama Hammel, Zhiyong Yang, Robert N. Weinreb, Linda M. Zangwill

    Izdano 2016
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  3. 3
    Structural Change Can Be Detected in Advanced-Glaucoma Eyes

    Structural Change Can Be Detected in Advanced-Glaucoma Eyes od Akram Belghith, Felipe A. Medeiros, Christopher Bowd, Jeffrey M. Liebmann, Christopher A. Girkin, Robert N. Weinreb, Linda M. Zangwill

    Izdano 2016
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  4. 4
    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 od Mark Christopher, Akram Belghith, Robert N. Weinreb, Christopher Bowd, Michael H. Goldbaum, Luke J. Saunders, Felipe A. Medeiros, Linda M. Zangwill

    Izdano 2018
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  5. 5
    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 od Mark Christopher, Akram Belghith, Christopher Bowd, James A. Proudfoot, Michael H. Goldbaum, Robert N. Weinreb, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Izdano 2018
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  6. 6
    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 od Mark Christopher, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Linda M. Zangwill

    Izdano 2019
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  7. 7
    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 od 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

    Izdano 2020
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  8. 8
    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 od 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

    Izdano 2021
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  9. 9
    Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma

    Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma od Min Hee Suh, Linda M. Zangwill, Patricia Isabel C. Manalastas, Akram Belghith, Adeleh Yarmohammadi, Felipe A. Medeiros, Alberto Diniz‐Filho, Luke J. Saunders, Robert N. Weinreb

    Izdano 2016
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  10. 10
    Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects

    Macular Ganglion Cell Inner Plexiform Layer Thickness in Glaucomatous Eyes with Localized Retinal Nerve Fiber Layer Defects od Chunwei Zhang, Andrew J. Tatham, Ricardo Y. Abe, Naama Hammel, Akram Belghith, Robert N. Weinreb, Felipe A. Medeiros, Jeffrey M. Liebmann, Christopher A. Girkin, Linda M. Zangwill

    Izdano 2016
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  11. 11
    Optical Coherence Tomography Angiography Vessel Density in Glaucomatous Eyes with Focal Lamina Cribrosa Defects

    Optical Coherence Tomography Angiography Vessel Density in Glaucomatous Eyes with Focal Lamina Cribrosa Defects od Min Hee Suh, Linda M. Zangwill, Patricia Isabel C. Manalastas, Akram Belghith, Adeleh Yarmohammadi, Felipe A. Medeiros, Alberto Diniz‐Filho, Luke J. Saunders, Siamak Yousefi, Robert N. Weinreb

    Izdano 2016
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  12. 12
    Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma

    Relationship between Optical Coherence Tomography Angiography Vessel Density and Severity of Visual Field Loss in Glaucoma od Adeleh Yarmohammadi, Linda M. Zangwill, Alberto Diniz‐Filho, Min Hee Suh, Siamak Yousefi, Luke J. Saunders, Akram Belghith, Patricia Isabel C. Manalastas, Felipe A. Medeiros, Robert N. Weinreb

    Izdano 2016
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  13. 13
    Reproducibility of Optical Coherence Tomography Angiography Macular and Optic Nerve Head Vascular Density in Glaucoma and Healthy Eyes

    Reproducibility of Optical Coherence Tomography Angiography Macular and Optic Nerve Head Vascular Density in Glaucoma and Healthy Eyes od Patricia Isabel C. Manalastas, Linda M. Zangwill, Luke J. Saunders, Kaweh Mansouri, Akram Belghith, Min Hee Suh, Adeleh Yarmohammadi, Rafaella C. Penteado, Tadamichi Akagi, T. Shoji, Robert N. Weinreb

    Izdano 2017
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  14. 14
    Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes

    Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes od Adeleh Yarmohammadi, Linda M. Zangwill, Alberto Diniz‐Filho, Min Hee Suh, Patricia Isabel C. Manalastas, Naeem Fatehee, Siamak Yousefi, Akram Belghith, Luke J. Saunders, Felipe A. Medeiros, David Huang, Robert N. Weinreb

    Izdano 2016
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  15. 15
    Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

    Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection od Benton Chuter, Justin Huynh, Christopher Bowd, Evan Walker, Jasmin Rezapour, Nicole Brye, Akram Belghith, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Linda M. Zangwill, Mark Christopher

    Izdano 2024
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  16. 16
    Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions

    Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions od 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

    Izdano 2022
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  17. 17
    Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data

    Proactive Decision Support for Glaucoma Treatment: Predicting Surgical Interventions with Clinically Available Data od Mark Christopher, Rubèn Gonzàlez, Justin Huynh, Evan Walker, Bharanidharan Radha Saseendrakumar, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Sally L. Baxter, Linda M. Zangwill

    Izdano 2024
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  18. 18
    Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

    Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms od Mark Christopher, Ken‐ichi Nakahara, Christopher Bowd, James A. Proudfoot, Akram Belghith, Michael H. Goldbaum, Jasmin Rezapour, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Carlos Gustavo De Moraes, Hiroshi Murata, Kana Tokumo, Naoto Shibata, Yuri Fujino, Masato Matsuura, Yoshiaki Kiuchi, Masaki Tanito, Ryo Asaoka, Linda M. Zangwill

    Izdano 2020
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