Chapter 1 Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation

Chapter 2 Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning

Chapter 3 Intra-operative OCT (iOCT) Image Quality Enhancement: A Super-Resolution Approach Using High Quality iOCT 3D Scans

Chapter 4 Diabetic Retinopathy Detection Based on Weakly Supervised Object Localization and Knowledge Driven Attribute Mining

Chapter 5 FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images

Chapter 6 CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization

Chapter 7 U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina

Chapter 8 Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

Chapter 9 Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation

Chapter 10 Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network

Chapter 11 Peripapillary Atrophy Segmentation with Boundary Guidance

Chapter 12 Are Cardiovascular Risk Scores from Genome and Retinal Image Complementary? A Deep Learning Investigation in a Diabetic Cohort

Chapter 14 Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images

Chapter 15 Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning

Chapter 16 Impact of Data Augmentation on Retinal OCT Image Segmentation for Diabetic Macular Edema Analysis

Chapter 17 Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using only Two Latent Variables from a Variational Autoencoder

Chapter 18 Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification

Chapter 19 Attention Guided Slit Lamp Image Quality Assessment

Chapter 20 Robust Retinal Vessel Segmentation from a Data Augmentation Perspective