Intro
Workshop Editors
ISIC Preface
ISIC 2023 Organization
Care-AI 2023 Preface
Care-AI 2023 Organization
MedAGI 2023 Preface
MedAGI 2023 Organization
DeCaF 2023 Preface
DeCaF 2023 Organization
Contents
Proceedings of the Eighth International Skin Imaging Collaboration Workshop (ISIC 2023)
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification
1 Introduction
2 Continual-GEN
3 Experiments and Results
4 Conclusion
References

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation
1 Introduction
2 Method
2.1 Generalizable Dataset Distillation
2.2 Distillation Process
2.3 Communication-Efficient Federated Learning
3 Experiment
3.1 Datasets and Evaluation Metrics
3.2 Implementation Details
3.3 Comparison of State-of-the-Arts
3.4 Detailed Analysis
4 Conclusion
References
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
1 Introduction
2 Methodology
2.1 Basic ViT
2.2 AViT
3 Experiments

4 Conclusion
References
Test-Time Selection for Robust Skin Lesion Analysis
1 Introduction
2 Related Work
3 Methodology
4 Results
5 Conclusion
References
Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes
1 Introduction
2 Proposed Approach
2.1 Clustering
2.2 Global Prototypes
2.3 Local Prototypes
2.4 Pruning and Final Classifier
2.5 Visual Explanations
3 Experimental Setup
4 Results
5 Conclusions
References
Evidence-Driven Differential Diagnosis of Malignant Melanoma
1 Introduction
2 Method
3 Experiments

3.1 Data
3.2 Experimental Settings
4 Results and Discussion
5 Conclusion
References
Proceedings of the First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
1 Introduction
2 Methods
2.1 Study Population
2.2 Data Preprocessing
2.3 Explainable Boosting Machine (EBM)
2.4 Proposed Extension
2.5 Extraction of the DL-Biomarkers
3 Experiments
3.1 Validation Study
3.2 EBM Using DL-Biomarkers

3.3 Baseline Methods
4 Results
4.1 Glo-CNN and ROIs
4.2 Comparison Study
5 Discussion and Conclusions
References
Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method
1 Introduction
2 Related Work
3 Datasets
3.1 CN-CXR Dataset
3.2 CN-RadGraph Dataset
4 Method
5 Results and Analysis
5.1 Pre-processing and Evaluation
5.2 Performance and Comparisons
References
Gradient Self-alignment in Private Deep Learning
1 Introduction
2 Background and Related Work
3 Methodology
3.1 DP-SGD with a Cosine Similarity Filter