Digital Organs and Medical Image Processing
My research work is focused on designing in silico models of human organs and medical image analysis methods using these models as prior knowledge and predictive tools. This knowledge can be at the anatomical, biomechanical or physiological levels.
To achieve this goal, I work in different scientific topics, including image processing, mesh generation, analysis of physiological models, mesh adaptation to given data sets, numerical computing, parameter estimation and graphical visualisation. To validate such models, I also work on the fusion of information from different modalities. As an in silico organ integrates anatomy, biomechanics and physiology, observations have to be made at these different levels as well.
Medical imaging is a unique way to observe the human body in vivo. However it is often sparse and noisy compared to the mathematical models. The main work on medical imaging is extracting quantitative parameters or regions of interest. My research on these tasks is mainly concentrated on segmentation with deformable models, as well as motion tracking with image registration.
You can have more details on my background in my Vitae.
Publications
Even if I try to keep this web page up-to-date, if the paper you are looking for is not in the list below:
- You can look at my Google Scholar Page.
- You can also query PubMed with this link to find an up-to-date list of my publications in the journals covered by PubMed.
For BibTeX export, you should rather use HubMed.
Here is the Asclepios web site local list: