A selection of our current projects

We develop cutting-edge machine learning solutions to improve healthcare and research.

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Brain Age

Motivation The deviation between chronological age and age predicted from neuroimaging data has been identified as a sensitive risk marker of cross-disorder brain changes, growing into a cornerstone of biological age research.

Colon Wall Segmentation

Ulcerative colitis is a chronic inflammatory bowel disease characterized by the development of ulcers in the colonic mucosa.

Deepbet

The segmentation of brain tissues in magnetic resonance imaging (MRI) data is a crucial step in neuroimaging preprocessing pipelines.

GateNet

Flow cytometry is a widely utilized technique for identifying cell populations in patient-derived fluids, such as peripheral blood (PB) or cerebrospinal fluid (CSF).

PHOTONAI

The machine learning framework photonai is motivated by the rising need to apply multivariate pattern recognition methods to scientific problems without in-depth technical training.

ReMap: Remote Monitoring in Psychiatry

Together with Prof. Dr. Nils Opel from the Department of Psychiatry and Psychotherapy at Jena University Hospital, we aim to advance mental health research and improve the lives of individuals with mental disorders.

Virtual Brains

In this project we use brain modelling to recreate the behaviour and function of the human brain using computer models.

Intraepidermal Nerve Fiber Density Quantification

In collaboration with the Institute for Neuropathology at the University of Münster, we are developing a standardized method for quantifying the degree of innervation of a patient’s skin, supporting the research of exposure to gadolinium-based contrast-agents by Prof.