In my research I focus on resource-constrained AI especially performed with Neural Cellular Automata (NCA) in medical image analysis such as MRI/CT segmentation. Also, I work on Continual Learning, Domain Adaptation and Domain Generalization methods for NCAs or other medical image segmentation models such as UNets. Furthermore, I am interested in Multimodal learning, Natural Language Processing for medicine and Federated Learning

If you want to get involved in a research projects or a bachelor or master’s thesis on these topics feel free to contact me via e-mail: nick.lemke@gris.informatik.tu-…