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102. International Photographic Classification and Grading System for Myopic Maculopathy

106. Bidirectional 5‐year risks of diabetic retinopathy, glaucoma and/or ocular hypertension: Results from a national screening programme

107. Anti-VEGF Monotherapy versus Combined Anti-VEGF and Endpoint Management Laser for Diabetic Macular Edema (END-DME Study)

108. Prevalence, Associated Factors, and Inter-Eye Differences of Refractive Errors in a Population-Based Japanese Cohort: The Tohoku Medical Megabank Eye Study

112. Presence and development of diabetic retinopathy in 153 238 patients with type 2 diabetes in the Danish Registry of Diabetic Retinopathy

121. Patient referral flow between physician and ophthalmologist visits for diabetic retinopathy screening among Japanese patients with diabetes: A retrospective cross‐sectional cohort study using the National Database.

122. Bidirectional 5‐year risks of diabetic retinopathy, glaucoma and/or ocular hypertension: Results from a national screening programme.

125. Navigated laser and aflibercept versus aflibercept monotherapy in treatment‐naïve branch retinal vein occlusion: A 12‐month randomized trial

131. Diabetic Retinopathy Predicts Risk of Alzheimer's Disease:A Danish Registry-Based Nationwide Cohort Study

132. Navigated laser and aflibercept in treatment of branch retinal vein occlusion and macular edema:a 12 months randomized clinical trial

139. Diabetic Retinopathy Predicts Risk of Alzheimer’s Disease: A Danish Registry-Based Nationwide Cohort Study

143. Additional file 1 of Effects of optic nerve head-related parameters on retinal vessel calibers measurement results on fundus photographs

144. Additional file 2 of Effects of optic nerve head-related parameters on retinal vessel calibers measurement results on fundus photographs

146. Diagnosis of Choroidal Disease With Deep Learning-Based Image Enhancement and Volumetric Quantification of Optical Coherence Tomography

147. Grand Challenges in global eye health: a global prioritisation process using Delphi method

149. Prediction of Cardiovascular Parameters With Supervised Machine Learning From Singapore “I” Vessel Assessment and OCT-Angiography: A Pilot Study

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