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Wu J 23
Showing records 1 to 23 | Display all abstracts from Wu J82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Zhang H
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570
82619 Brimonidine enhances inhibitory postsynaptic activity of OFF- and ON-type retinal ganglion cells in a Wistar rat chronic glaucoma model
Zhou X; Zhang T
Experimental Eye Research 2019; 189: 107833
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
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H
Medical Image Analysis 2020; 59: 101570
82619 Brimonidine enhances inhibitory postsynaptic activity of OFF- and ON-type retinal ganglion cells in a Wistar rat chronic glaucoma model
Wu J
Experimental Eye Research 2019; 189: 107833
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Barbosa Breda J
Medical Image Analysis 2020; 59: 101570
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
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Van Keer K
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Li L; Wang H
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Bathula DR; Diaz-Pinto A
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Wu J
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fang R
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Hu J; Cao K
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Heng PA
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Zhao A
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Kim J; Lee J
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Liang J; Song J; Qiao C
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Li X; Liu P
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Wang N
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Lu S
Medical Image Analysis 2020; 59: 101570
82522 The Chinese Glaucoma Study Consortium for Patients With Glaucoma: Design, Rationale and Baseline Patient Characteristics
Journal of Glaucoma 2019; 28: 974-978
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Murugesan B; Naranjo V; Phaye SSR; Shankaranarayana SM; Sikka A; Son J; van den Hengel A; Wang S; Wu J; Wu Z; Xu G; Xu Y; Yin
Medical Image Analysis 2020; 59: 101570
