Medical Image Analysis

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