Intro
Preface
Organization
Contents
AugPaste: One-Shot Anomaly Detection for Medical Images
1 Introduction
2 Methods
2.1 Construction of Lesion Bank
2.2 Synthesis of Anomalous Samples
2.3 Anomaly Detection Network
2.4 Implementation Details
3 Experiments and Results
3.1 Datasets
3.2 Evaluation Metric
3.3 Ablation Studies on EyeQ
3.4 Comparison with State-of-the-Art
4 Conclusion
References
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life
1 Introduction

2 Methodology
3 Results
3.1 Vessel Tortuosity Decreases in Risk Groups
3.2 Longitudinal Variations of Retinal Features in Risk Groups
4 Discussion
5 Conclusion
References
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
1 Introduction
2 Related Work
3 Methodology
3.1 Robust Feature Learning Architecture
3.2 Proposed Representation Learning Loss
3.3 Final Objective Function
4 Experiments
4.1 Data-Set Processing
4.2 Hyper-parameter Tuning
4.3 Performance Metrics

4.4 Quantitative Evaluation
4.5 Qualitative Evaluation
5 Conclusion and Future Work
References
GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures
1 Introduction
2 Method
2.1 GUNet
2.2 Graph Convolution
2.3 Graph Construction
3 Experiments
3.1 Datasets and Evaluation Metrics
3.2 Implementation Details
4 Results
4.1 Experiments on Fundus Photography
4.2 Experiments on SLO Images
4.3 Visualization
5 Conclusion
References
Detection of Diabetic Retinopathy Using Longitudinal
1 Introduction

2 Methods
2.1 Longitudinal Siamese
2.2 Longitudinal Self-supervised Learning
2.3 Longitudinal Neighbourhood Embedding
3 Dataset
4 Experiments and Results
4.1 Comparison of the Approaches on the Early Change Detection
4.2 Norm of Trajectory Vector Analyze
5 Discussion
References
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification
1 Introduction
2 Methods
2.1 Early Fusion
2.2 Intermediate Fusion
2.3 Hierarchical Fusion
3 Material and Experiments
3.1 Data
3.2 Data Pre-processing
3.3 Implementation Details

4 Results
4.1 GAMMA Dataset
4.2 PlexEliteDR Dataset
5 Conclusion
References
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading
1 Introduction
2 Proposed Method
3 Experiments and Results
3.1 SiGMoid
3.2 DED Diagnosis: Classification
4 Discussion and Conclusion
References
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter
1 Introduction
2 Methods
2.1 Quality Prediction on a Categorical Scale and Continuous Scale
2.2 Effect of Varying Image Quality Threshold