Medical Image Computing Research

The research of the Junior Group MIC is composed of three groups focusing on Medical Image Analysis, Medical Imaging Components (MICO), and Software development for Integrated Diagnostics and Therapy (SIDT).

Medical Image Analysis (MIA)

PD Dr. Klaus Maier-Hein

 

The Medical Image Analysis Group focuses on algorithmic advances in automated image processing including semantic segmentation, abnormality detection and image-based quantitative phenotyping (i.e. “radiomics”), thus addressing todays vast unexploited potential of medical imaging data. The group has a profound track record in deep learning and weak learning methodology with numerous successful applications in context of imaging-based diagnostic and predictive markers in neuroimaging and oncology. There is an increasing interest in pursuing cross-domain data integration for higher-level clinical stratification and decision making.

Medical Imaging Components (MICO)

 Dr. Marco Nolden

 

The MICO group aims at bringing innovative medical imaging technologies to a broad audience. We provide scalable components enabling research projects in a variety of scenarios, ranging from intra-operative surgical assistance to multi-institutional data management and analysis solutions. Our current work focuses on large-scale data analysis, interactive data exploration and annotation as well as development of robust applications for clinical settings. To this end we explore new technologies, apply advanced software development processes and connect with like-minded researchers and engineers in the international community to advance standardization and interoperability of methods and tools.

Software development for Integrated Diagnostics and Therapy (SIDT)

Dr. Ralf Floca

 

The research group SIDT was established within the research program “Imaging and Radiooncology” to plan and implement a joint IT strategy and to foster collaboration and transfer of knowledge within the program. We develop software solutions and provide IT-infrastructure for improving interaction between different research domains such as computational sciences, physics and radiology. We also thrive at supporting the translation of cutting-edge research results into clinical application, thus supporting physicians during diagnostics and therapy planning. In this context, we are involved in a number of dedicated research projects aimed at answering specific questions in medical software development, radiooncology or radiology.

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