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Author #31182
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Wang N
88
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Wang N
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
Experimental Eye Research
2019; 189: 107835
82400
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:
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
82659
The genetics of angle closure glaucoma
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:
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:
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:
82400
Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Qiao C
JAMA ophthalmology
2019; 0:
82316
Prevalence and causes of vision loss in East Asia in 2015: magnitude, temporal trends and projections
Congdon N
British Journal of Ophthalmology
2019; 0:
82357
Lamina cribrosa pore movement during acute intraocular pressure rise
Chen JD
British Journal of Ophthalmology
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
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Issue
20-4
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26-1
25-4
25-3
25-2
25-1
24-4
24-3
24-1/2
23-4
23-3
23-2
23-1
22-4
22-3
22-2
22-1
21-4
21-3
21-2
21-1
20-4
20-3
20-2
20-1
19-4
19-3
19-2
19-1
18-4
18-3
18-2
18-1
17-4
17-3
17-2
17-1
16-4
16-3
16-2
16-1
15-4
15-3
15-2
15-1
14-4
14-3
14-2
14-1
13-4
13-3
13-2
13-1
12-4
12-3
12-2
12-1
11-4
11-3
11-2
11-1
10-4
10-3
10-2
10-1
9-4
9-3
9-2
9-1
8-4
8-3
8-2
8-1
7-3
7-2
7-1
6-3
6-2
6-1
5-3
5-2
5-1
4-3
4-2
4-1
3-3
3-2
3-1
2-3
2-2
2-1
1-3
1-2
1-1
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