Medical Imaging Researches
Tumor growth prediction
People: Dana Cobzas; Parisa Mosayebi; Albert Murtha; Martin Jagersand
Predicting tumor invasion margin using a geodesic distance defined on the Riemannian manifold of white fibers...
Semi-automatic segmentation software
People: Neil Birkbeck; Dana Cobzas; Martin Jagersand; Albert Murtha; Tibor Kesztyues, University of Applied Sciences Ulm, Germany
A semi-automatic software for medical image segmentation...See also project description on Neil's webpage
FEM for fast image registration
People: Karteek Popuri; Dana Cobzas; Martin Jagersand
A finite element implementation for the diffusion-based non-rigid registration algorithm...
A continuous formulation of Conditional Random Fields (CRFs)
People: Dana Cobzas,University of Alberta ; Mark Schmidt,UBC
A variational formulation for a discriminative model in image segmentation...
Brain Tumor Segmentation
People: Dana Cobzas; Karteek Popuri; Neil Birkbeck; Mark Schmidt; Martin Jagersand; Albert Murtha
A variational segmentation method applied to a high-dimensional feature set computed from the MRI...
Muscle and fat segmentation
People: Howard Chung; Dana Cobzas; Jessica Lieffers, Agricultural, Food and Nutritional Science; Laura Birdsell, Oncology; Vickie Baracos, Oncology
Muscle and adipose tissue segmentation in CT images based on a deformable shape...
RW for deformable image registration
People: Dana Cobzas; Abhishek Sen
A discrete registration method based on the random walker algorithm...