Statistical Shape Modelling - Computing the human anatomy
The following collection of links link to all articles and videos presented in the 2019 FutureLearn MOOC Statistical Shape Modelling - Computing the human Anatomy.
Links to the 2019 Course run
Week 1: Basic concepts of shape modelling and the Scalismo software
Week 2: Building shape models: fundamental concepts in theory and practice
GAUSSIAN PROCESSES: FROM RANDOM VECTORS TO RANDOM FUNCTIONS (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
SCALISMO LAB: GAUSSIAN PROCESS SAMPLING AND MARGINALISATION (Article)
FINITE RANK REPRESENTATIONS OF A GAUSSIAN PROCESS (Video 09:16)
Week 4: Modelling with Gaussian Processes
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)
Week 5: Reconstructing missing parts
SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Video 11:44)
SCALISMO LAB: SHAPE COMPLETION USING GAUSSIAN PROCESS REGRESSION (Article)
Week 6: Fitting models to data
SCALISMO LAB: ITERATIVE CLOSEST POINTS FOR RIGID ALIGNMENT (Article)
SCALISMO LAB: MODEL FITTING WITH ITERATIVE CLOSEST POINTS (Article)