Medical Image Computing Group
Klaus H. Maier-Hein (né Fritzsche)
Division of Medical and Biological Informatics
The success of therapies depends on medical decisions that are tailored to the individual patient. In this context, a medical imaging-based characterization of structural, functional, and anatomical tissue properties is essential. Considering the increasing complexity of medical imaging technologies, it is more and more difficult for physicians to extract and integrate relevant information from multiple scales, time-points, and imaging modalities when it comes to the diagnosis of complex and individual diseases. The Medical Image Computing group with Dr. Klaus Maier-Hein (né Fritzsche) as PI was initiated in April 2010 to meet these challenges.
The group is developing computational and mathematical methods for an extraction and interpretation of clinically relevant parameters from medical images. Our development comprises techniques from network analysis, graphical modeling, statistical shape and appearance modelling, and machine learning for multi-parametric domain integration and high-level decision making. The group especially focuses on the neuroimaging-based analysis of the human brain’s network architecture and its dynamic change in different psychiatric and oncologic scenarios.
Structure of the Group
|Group Leader:||Klaus Maier-Hein|
|Postdoctoral fellows:||Peter Neher, Caspar Goch|
|PhD students:||Christoph Kolb, Jan Hering, Tobias Norajitra, Christian Weber, Michael Götz|
|Students:||Jonas Cordes, Moritz Petry|