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Li X 11
Showing records 1 to 11 | Display all abstracts from Li X92753 A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Xu Y
NPJ digital medicine 2021; 4: 48
92276 The anterior and posterior biometric characteristics in primary angle-closure disease: Data based on anterior segment optical coherence tomography and swept-source optical coherence tomography
Huang W
Indian Journal of Ophthalmology 2021; 69: 865-870
92731 LOXL1 gene polymorphisms are associated with exfoliation syndrome/exfoliation glaucoma risk: An updated meta-analysis
Li X
PLoS ONE 2021; 16: e0250772
92753 A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Hu M
NPJ digital medicine 2021; 4: 48
92276 The anterior and posterior biometric characteristics in primary angle-closure disease: Data based on anterior segment optical coherence tomography and swept-source optical coherence tomography
Li X
Indian Journal of Ophthalmology 2021; 69: 865-870
92731 LOXL1 gene polymorphisms are associated with exfoliation syndrome/exfoliation glaucoma risk: An updated meta-analysis
He J
PLoS ONE 2021; 16: e0250772
92276 The anterior and posterior biometric characteristics in primary angle-closure disease: Data based on anterior segment optical coherence tomography and swept-source optical coherence tomography
Gao X
Indian Journal of Ophthalmology 2021; 69: 865-870
92731 LOXL1 gene polymorphisms are associated with exfoliation syndrome/exfoliation glaucoma risk: An updated meta-analysis
Sun J
PLoS ONE 2021; 16: e0250772
92753 A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Liu H
NPJ digital medicine 2021; 4: 48
92276 The anterior and posterior biometric characteristics in primary angle-closure disease: Data based on anterior segment optical coherence tomography and swept-source optical coherence tomography
Zhang X
Indian Journal of Ophthalmology 2021; 69: 865-870
92753 A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Yang H; Wang H; Lu S; Liang T; Liang T; Li X; Xu M; Li L; Li H; Ji X; Wang Z; Weinreb RN; Wang N
NPJ digital medicine 2021; 4: 48
