Projects
Quantitative tomographic segmentation of magnetic resonance images University of Antwerp
Improved quantitative cardiac disease analysis and surgical planning using a virtual organ based segmentation approach in a multi-modality imaging context (China) Vrije Universiteit Brussel
Model-based image computing for multi-X medical image data. KU Leuven
Algorithms for anatomy-guided image reconstruction in nuclear medicine tomography. KU Leuven
Next-generation pathology by MILAN: multiplex immunohistochemistry and advanced trainable image analysis KU Leuven
Cone-beam Computed Tomography is a Fast and Promising Technique for Microstructural Imaging in Clinical Practice KU Leuven
Due to the rising life expectancy, bone and joint diseases (e.g., osteoporosis, osteoarthritis and rheumatoid arthritis) have become an important socioeconomic burden. For these diseases, the importance of assessing the bone’s microarchitecture make-up in clinical practice has been emphasized in basic science. However, it remains challenging to assess it in clinical practice.
High-resolution in vivo imaging became possible with the ...
Learning-based strategies for analysis of shape patterns in medical images KU Leuven
Explainable machine learning, predictive modelling, and causal inference, applied to medical data Hasselt University
Controlled spatial patterning of ligand presentation within hydrogels. KU Leuven
State of the art
Natively, cells reside in a complex microenvironment, called the extracellular matrix (ECM), where they receive numerous signals (chemical, mechanical, biological) that allow them to maintain proper function; however, cells can be damaged and these interactions disrupted as a result of injury or disease. To address this problem, tissue engineering is developing as an emerging field with the ambitious aim to ...