Statistical Shape Modelling - Course Run 2019

Resources

• COURSE TRAILER AND DESCRIPTION

Week 1: Basic concepts of shape modelling and the Scalismo software

• INTRODUCING THE COURSE (Video 03:12)

• HOW DOES THIS COURSE WORK? (Article)

• BASIC NOTIONS OF SHAPE MODELLING (Video 06:13)

• GLOSSARY (Article)

• MULTIVARIATE NORMAL DISTRIBUTION (Video 10:31)

• Simple shape modelling using the multivariate normal distribution (Article)

• WHAT IS SCALISMO? (Video 03:33)

• INSTALLATION OF SCALISMO LAB (Article)

• HELLO SCALISMO! (Video 06:28)

• SCALISMO LAB: HELLO SCALISMO! (Article)

Week 2: Building shape models: fundamental concepts in theory and practice

• MODELLING SHAPE DEFORMATIONS (Video 07:52)

• GAUSSIAN PROCESSES: FROM RANDOM VECTORS TO RANDOM FUNCTIONS (Article)

• LEARNING A MODEL FROM EXAMPLE DATA (Video (04:32)

• SUPERIMPOSING SHAPES (Article)

• SCALISMO LAB: RIGID ALIGNMENT (Article)

• FROM MESHES TO DEFORMATION FIELDS (Video 05:27)

• SCALISMO LAB: FROM MESHES TO DEFORMATION FIELDS (Article)

• GAUSSIAN PROCESSES AND POINT DISTRIBUTION MODELS (Video 05:18)

• SCALISMO LAB: GAUSSIAN PROCESSES AND POINT DISTRIBUTION MODELS (Article)

Week 3: Probabilistic aspects of shape models

• THE MARGINALISATION PROPERTY (Video 07:59)

• SAMPLING FROM A SHAPE MODEL (Article)

• GAUSSIAN PROCESS SAMPLING AND MARGINALISATION (Video 08:18)

• SCALISMO LAB: GAUSSIAN PROCESS SAMPLING AND MARGINALISATION (Article)

• FINITE RANK REPRESENTATIONS OF A GAUSSIAN PROCESS (Video 09:16)

• PRINCIPAL COMPONENT ANALYSIS (Article)

• SCALISMO LAB: BUILDING A SHAPE MODEL FROM DATA (Article)

Week 4: Modelling with Gaussian Processes

• INTRODUCTION (Article)

• COVARIANCE FUNCTIONS (Video 13:32)

• CONSTRUCTING KERNELS FOR SHAPE MODELLING (Article)

• SHAPE MODELLING WITH GAUSSIAN PROCESSES AND KERNELS (Video 14:38)

• SCALISMO LAB: SHAPE MODELLING WITH GAUSSIAN PROCESSES AND KERNELS (Article)

• ENLARGING THE FLEXIBILITY OF STATISTICAL SHAPE MODELS (Article)

• CONGRATULATIONS AND OUTLOOK (Video 01:41)

• FEMUR PROJECT: FIRST STEP (Article)

Week 5: Reconstructing missing parts

• A VISIT TO SURGEON DR METZGER (Video 04:39)

• THE REGRESSION PROBLEM (Article)

• GAUSSIAN PROCESS REGRESSION (Video 13:57)

• POSTERIOR MODELS FOR DIFFERENT KERNELS (Article)

• SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Video 11:44)

• SCALISMO LAB: POSTERIOR SHAPE MODELS (Article)

• SCALISMO LAB: SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Article)

• FEMUR PROJECT: DATA DOWNLOAD AND PREPARATION (Article)

Week 6: Fitting models to data

• MODEL FITTING AND CORRESPONDENCE (Video 11:49)

• MODEL FITTING AND THE REGISTRATION PROBLEM (Article)

• MODEL FITTING WITH ITERATIVE CLOSEST POINTS (Video 17:07)

• SCALISMO LAB: ITERATIVE CLOSEST POINTS FOR RIGID ALIGNMENT (Article)

• SCALISMO LAB: MODEL FITTING WITH ITERATIVE CLOSEST POINTS (Article)

• FEMUR PROJECT: FINAL STEPS (Article)

Week 7: Model-based image analysis

• FITTING MODELS TO IMAGES (Video 14:08)

• THE ACTIVE SHAPE MODEL FITTING ALGORITHM (Article)

• FINDING CORRESPONDENCES IN AN IMAGE (Video 12:05)

• SCALISMO LAB: FINDING CORRESPONDENCE IN AN IMAGE (Article)

Week 8: Conclusion and outlook

• SHAPE MODELLING IN BIOLOGICAL ANTHROPOLOGY (Video 02:33)

• SHAPE MODELLING FOR THE ANALYSIS OF 2D IMAGES (Video 02:59)

• CONTINUING THE LEARNING JOURNEY (Article)

• SAYING GOODBYE (Video 00:35)