deep learning

A selection of our current projects

The Medical Machine Learning Lab develops Machine Learning solutions in all areas of medicine.

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).

Deepbet

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

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.

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.