Detail

Keywords

Artificial Intelligence; Biomedical Research; Molecular Imaging; Monte Carlo Method; Pattern Recognition, Automated; Positron-Emission Tomography

Research group(s)

• Christian Doppler Laboratory for Applied Metabolomics
  Head:
  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.
  Members:
  Marko Grahovac
  Kilian Kluge
  David Haberl
  Lukas Kenner

Research interests

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