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Part 1: Methods and Principles 1. Non-Deep-Learning-Based Medical Image Synthesis Methods 2. Deep Learning-Based Medical Image Synthesis Methods Part 2: Applications of Inter-Modality Image Synthesis 3. MRI-Based Image Synthesis 4. CBCT/CT-Based Image Synthesis 5. CT-Based DVF/Ventilation/Perfusion Imaging 6. Image-Based Dose Planning Prediction Part 3: Applications of Intra-Modality Image Synthesis 7. Medical Imaging Denoising 8. Attenuation Correction for Quantitative PET/MR Imaging 9. High-Resolution Medical Image Estimation 10. 2D-3D Transformation for 3D Volumetric Imaging 11. Multi-Modality MRI Synthesis 12. Multi-Energy CT Transformation and Virtual Monoenergetic Imaging 13. Metal Artifact Reduction Part 4: Other Applications of Medical Image Synthesis 14. Synthetic Image-Aided Segmentation 15. Synthetic Image-Aided Registration 16. CT Image Standardization Using Deep Image Synthesis Models Part 5: Clinic Usage of Medical Image Synthesis 17. Image-Guided Adaptive Radiotherapy Part 6: Perspectives 18. Validation and Evaluation Metrics 19. Limitation and Future Trends |