Research

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

Research Projects

Example projects are shown below. For more detailed information, see our publications shown on the Publications Page or on arXiv.


	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 quicknat.ai-med.de Contact person: Abhijit Guha Roy

Student Projects

See our Student Projects List for open, running, and finished student projects.

Code

See our GitHub page for source code: https://github.com/ai-med

Funding

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), the Federal Ministry of Education and Research, and SAP SE.

Artificial Intelligence in Medical Imaging