Algorithmic Interests

  • Machine and deep learning
  • Image segmentation
  • Big data, domain adaptation
  • Probabilistic modeling, Bayesian non-parametrics
  • Shape analysis and differential geometry
  • Longitudinal analysis
  • Spectral methods

Clinical Interests

  • Autism
  • Alzheimer’s disease
  • Dyslexia
  • Diabetes
  • Traumatic Brain Injury
  • Radiomics
  • Population imaging


Age Estimation

In this project, we are interested in exploring the use of imaging based biomarkers to create regression models describing the healthy development of the brain. These models can in turn be used to measure brain abnormalities caused by a variety of diseases such as Alzheimer’s Disease or Autism.

Contact person: Benjamin Gutierrez Becker

Brain Segmentation
In this project, we develop new algorithms based on deep learning for the automatic segmentation of Magnetic resonance imaging (MRI).

See our webservice for a demo

Contact person: Abhijit Guha Roy



Our research is supported by the Bavarian State Ministry of Education, Science and the Arts in the framework of the Centre Digitisation.Bavaria (ZD.B) and SAP SE.