neuroscience

A selection of our current projects

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

Biomarkers for Major Depressive Disorder

Considering that biological psychiatry is built on the premise that mental disorders have a neural basis, it is essential for the field to derive biomarkers of MDD informative on the level of the individual patients.

Deepbet

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

Brain Age

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.

A Python Toolbox for Connectome-Based Predictive Modeling

Confound-Corrected Connectome-Based Predictive Modelling is a Python package for performing connectome-based predictive modeling (CPM).

Controlling Confounds in Biomarker-Based Clinical Prediction Models

In recent years, brain-based clinical prediction models have shown great promise in identifying biomarkers for psychiatric and neurological disorders.

Digital Twin

Many diseases afflict individuals not only with acute symptoms, but also with long-term, chronic burdens that extend far beyond single episodes.

Virtual Brains

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