Medical Image Processing and Virtual Reality Simulation
In Medical Image Processing and Virtual Reality Simulation innovative image processing methods, algorithms and software systems for computer-aided diagnostics and therapy are developed. The focus is on deep learning-based and model-based methods for modeling and analysis of spatial structures (e.g. tumors, cerebral infarction areas, organs etc.) and dynamic processes (e.g. heart movement, respiration, blood flow etc.) in medical 3D and 4D image data.
KI-SIGS project iAuge: Homecare eye diagnostics and intelligent image analysis in ophthalmology
(funded by Federal Ministry of Economics and Technology)
Project AI-Lab Lübeck
(funded by BMBF)
Patient-specific Virtual Reality Simulation of Punctures Using Puncture Atlases
(funded by German Research Foundation)
Patient-Individual 4D Virtual Reality Simulation of Punctures and Radio-Frequency Ablations in Virtual Body Models with Breating Motion
(funded by German Research Foundation)
- Research
- AI und Deep Learning in Medicine
- Medical Image Processing and VR-Simulation
- Integration and Utilisation of Medical Data
- Sensor Data Analysis for Assistive Health Technologies
- Medical Image Computing and Artificial Intelligence
- Medical Data Science Lab
- Medical Deep Learning Lab
- Medical Data Engineering Lab
- Junior Research Group Diagnostics and Research of Movement Disorders