PART I Introductory topics 1. Medical imaging modalities 2. Mathematical preliminaries 3. Regression and classification 4. Estimation and inference PART II Image representation and processing 5. Image representation and 2D signal processing 6. Image filtering: enhancement and restoration 7. Multiscale and multiresolution analysis PART III Medical image segmentation 8. Statistical shape models 9. Segmentation by deformable models 10. Graph cut-based segmentation PART IV Medical image registration 11. Points and surface registration 12. Graph matching and registration 13. Parametric volumetric registration 14. Non-parametric volumetric registration 15. Image mosaicking PART V Machine learning in medical image analysis 16. Deep learning fundamentals 17. Deep learning for vision and representation learning 18. Deep learning medical image segmentation 19. Machine learning in image registration PART VI Advanced topics in medical image analysis 20. Motion and deformation recovery and analysis 21. Imaging Genetics PART VII Large-scale databases 22. Detection and quantitative enumeration of objects from large images 23. Image retrieval in big image data PART VIII Evaluation in medical image analysis 24. Assessment of image computing methods