Artificial Intelligence; Biomedical Research; Molecular Imaging; Monte Carlo Method; Pattern Recognition, Automated; Positron-Emission Tomography
- Christian Doppler Laboratory for Applied Metabolomics
Research Area: We investigate ways to better characterize tumors using non-invasive imaging techniques. This is important because tumours are constantly changing through mutations. In this way, an individual therapy should be possible and its success should be continuously monitored.
Exploiting molecular imaging data to capture potential marker candidates for improved diagnosis and treatment stratification.
Techniques, methods & infrastructure
- Machine Learning
- Vision-based Deep Learning (planar and volumetric medical images)
- Data Analysis
- Monte Carlo Simulation (Geant4, GATE)
- Scientific Software Development