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  1. Deep Reinforcement Learning-Based Retinal Imaging in Alzheimer’s Disease: Potential and Perspectives
  2. A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis
  3. The Effect of Gender on Visual Field Sensitivity: The Singapore Chinese Eye Study
  4. Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy
  5. Bayesian reclassification statistics for assessing improvements in diagnostic accuracy