BioImage.pro research themes
Biomedical image analysis
Theory and computational methods related to the following:
Measures of Förster resonance energy transfer (FRET) efficiency to determine protein-protein interactions.
FRET imaging SNR measures.
Similarity metrics for medical image alignment.
Non-rigid geometrical transformations for image registration.
Information theory, in particular mutual information for solving non-linear mapping problems.
Methods to model and quantify deformation by non-rigid image alignment.
Serial MR brain image registration
MR geometrical distortion
Radial basis functions for interpolation and deformation modelling.
Fourier domain and scattered data interpolation.
Optical flow, fast convergent optical flow, and optical flow based motion boundary detection.
Multi-resolution, multi-scale image processing algorithms.
Theory of uncertainty and error propagation.
Theory, measurement and correction of geometric distortion in three dimensional magnetic resonance images.
Medical image segmentation based on expectation maximisation.
Laplacian based measures of the thickness brain structures from medical images.
Bayesian analysis, e.g. for image classification.
Fluorescence microscopy, Magnetic resonance imaging.
Algorithms for texture-based image classification based on a back-propagation of a multi-layer perceptron models.
Image analysis related
Stereo image matching algorithms.
Parallel algorithms for stereo image matching, comparative evaluation of parallel architectures.
Parallel architectures/systems (especially distributed memory processor arrays).
Parallel algorithms for image processing