Timo Löhr

Timo Löhr

PhD candidate

Address: Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Trogerstr 1, 81675 Munich


Research Focus

My research interest is motivated by the unexploited potential of MR image analysis based on Deep Learning methodologies. Especially the extraction of information relevant to the diagnosis and prognosis of Multiple Sclerosis and the longitudinal prediction of the disease course is at the core of my studies. This includes the development of Deep Learning techniques in order to not only detect, localize and segment lesions in human brain scans, but also model and predict the future progression. Simultaneously, I'm interested in novel Deep Learning methods, such as Graph Learning/Geometric Deep Learning, tackling state-of-the-art challenges in biomedical imaging.


Google Scholar