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Wang N 84
Showing records 1 to 25 | Display all abstracts from Wang N82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Liu H
JAMA ophthalmology 2019; 0:
82316 Prevalence and causes of vision loss in East Asia in 2015: magnitude, temporal trends and projections
Cheng CY
British Journal of Ophthalmology 2019; 0:
82357 Lamina cribrosa pore movement during acute intraocular pressure rise
Wang YX
British Journal of Ophthalmology 2019; 0:
82500 Determinants of maximum cup depth in non-glaucoma and primary open-angle glaucoma subjects: a population-based study
Zhang Q
Eye 2019; 0:
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li L
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Zhang H
Journal of Glaucoma 2019; 28: 974-978
82659 The genetics of angle closure glaucoma
Wang J; Yusufu M
Experimental Eye Research 2019; 189: 107835
82357 Lamina cribrosa pore movement during acute intraocular pressure rise
Zhang Q
British Journal of Ophthalmology 2019; 0:
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Li L
JAMA ophthalmology 2019; 0:
82316 Prevalence and causes of vision loss in East Asia in 2015: magnitude, temporal trends and projections
Wang N
British Journal of Ophthalmology 2019; 0:
82500 Determinants of maximum cup depth in non-glaucoma and primary open-angle glaucoma subjects: a population-based study
Zhang Y
Eye 2019; 0:
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Jia H
Journal of Glaucoma 2019; 28: 974-978
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Xu M
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Wormstone IM
JAMA ophthalmology 2019; 0:
82659 The genetics of angle closure glaucoma
Khor CC
Experimental Eye Research 2019; 189: 107835
82316 Prevalence and causes of vision loss in East Asia in 2015: magnitude, temporal trends and projections
Wong TY
British Journal of Ophthalmology 2019; 0:
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Duan X
Journal of Glaucoma 2019; 28: 974-978
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Liu H
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82357 Lamina cribrosa pore movement during acute intraocular pressure rise
Yang H
British Journal of Ophthalmology 2019; 0:
82500 Determinants of maximum cup depth in non-glaucoma and primary open-angle glaucoma subjects: a population-based study
Xin C
Eye 2019; 0:
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li Y
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82500 Determinants of maximum cup depth in non-glaucoma and primary open-angle glaucoma subjects: a population-based study
Mao Y
Eye 2019; 0:
82659 The genetics of angle closure glaucoma
Aung T
Experimental Eye Research 2019; 189: 107835
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Li L
Journal of Glaucoma 2019; 28: 974-978
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Qiao C
JAMA ophthalmology 2019; 0:
