The mathematical/statistical software platform R has seen an immense increase in
popularity within the last decade. Its main advantages are its flexibility, a large repository of …

Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …

Models of shape variations have become a central component for the automated analysis of
images. An important class of shape models are point distribution models (PDMs). These …

Background Statistical shape models are widely used in biomedical research. They are
routinely implemented for automatic image segmentation or object identification in medical …

The development of magnetic resonance imaging (MRI) revolutionized both the medical and
scientific worlds. A large variety of MRI options have generated a huge amount of image …

Faces in natural images are often occluded by a variety of objects. We propose a fully
automated, probabilistic and occlusion-aware 3D morphable face model adaptation …

Purpose Virtual reconstruction of large cranial defects is still a challenging task. The current
reconstruction procedures depend on the surgeon's experience and skills in planning the …

We present a method to compute the conditional distribution of a statistical shape model
given partial data. The result is a “posterior shape model”, which is again a statistical shape …

We present a novel fully probabilistic method to interpret a single face image with the 3D
Morphable Model. The new method is based on Bayesian inference and makes use of …

Temporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear
such as cochlear implants. The 3D vision of inner ear structures is crucial for diagnostic and …