==== Example oral exam questions ====

  - Describe how to segment a bright object on a dark background using active contours? How will the contour be represented? How is the topology maintained (to avoid the line to cross itself)?
  - Given a set of images of some organ (e.g. kidney), how do you build a shape model for the boundary? How is the dimension reduced? How can such a model be used for segmentation?
  - What descriptors would you use to distinguish different textures in an ultrasound image?
  - How are the wavelet texture descriptors calculated?
  - Define the Frangi vesselness descriptor, explain the different terms and how they are calculated.
  - Describe a deep learning algorithm for detection of lung nodules. How is the performance of such an algorithm evaluated?
  - Describe the "demons" algorithm for image registration for nonlinear image registration. How can the smoothness of the deformation be controlled.
  - What are the input and output of the neural network in the Naylor's nuclei segmentation method. What is the reason of this choice? What other formulations are used?