Computational Imaging Research Lab | Research

We are investigating machine learning approaches to analyse lung imaging data ranging from prediction models to unsupervised techniques to identify phenotypes in large scale populations.

We are studying fetal brain development based on in-utero magnetic resonance imaging data with a focus on modelling structural- and functional changes during gestation.

We are mapping the functional organisation of the human brain based on functional magnetic resonance imaging (fMRI) in healthy as well as diseased adults.

Identifying anomalies is a way to expand the vocabulary of imaging markers, we can use for diagnosis and prediction. We are studying approaches based on generative deep learning models to detect anomalies, and to translate them into disease markers.