Topics and Courses

Main Topics

• Digital image acquisition principles, Digital geometry, Image filtering and transforms, Digital phantoms and Simulation of image formation, Advanced segmentation of biomedical images: Level Sets, Graph Cuts
• Automated microscopy: principles and applications, Image filtering using B-Splines, Atlas-based image segmentation, Spectral unmixing
• Feature extraction related to segmentation of biomedical images and image quality aspects in light microscopy
• Automated Analysis of Spatio-Temporal Cell Microscopy Images: Classification, Tracking, and Registration
• Mathematical Morphology in Image Analysis
• Image registration in 2D, 3D and time-lapse biomedical imaging
• High-throughput live cell imaging, Bright field segmentation, Tracking, Modelling, estimation, and removal of signal-dependent noise in imaging, Markov Random Fields (MRFs), Graph cuts, Applications in MRI