Connectome

Together with the project partner Dr. med. Boris Rauchmann (LMU Klinikum), the Connectome team explored the prediction of Alzheimer’s disease diagnosis based on connectivity matrices utilizing the Brainnetome Atlas. The results of the project include a pipeline for processing connectivity matrices to predict and explain a patient’s Alzheimer’s status. The pipeline allows users to automate the training, evaluation, and interpretation of various models based on several dataset options, such as aggregated connectivity matrices or graph metrics applied to the human brain connectivity data.

Gather

In this project, the students were confronted with the problem of completing the road network of Antananarivo, Madagascar, to close sanitation gaps. The project was conducted in collaboration with Gather, a registered charity. First, the quality of existing digital maps, i.e. Sentinel-2, Google Maps and Mapbox was assessed and Mapbox was chosen as the most comprehensive available data source. Secondly, road segmentation models (U-net architectures) on aerial imagery to detect routes that have not been digitized yet, were implemented and compared.