Kerstin Kläser
My name is Kerstin Klaser and I am originally from Cologne, Germany. I did both my BSc and MSc in Biomedical Engineering at the University of Lübeck. I gained my interest in combined PET/MRI during my Master’s project which was carried out at the University of Sydney. I then started my PhD on MR to CT synthesis with the objective to improve attenuation correction for PET/MRI in London. My main research interests include image-to-image translation, reinforcement learning and developnig techniques that can be translated into clinic.
Projects
Image SynthesisPublications
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning
Kläser, K., Varsavsky, T., Markiewicz, P., Vercauteren, T., Atkinson, D., Thielemans, K., Hutton, B., Cardoso, M.J. and Ourselin, S., 2019, October. In International Workshop on Simulation and Synthesis in Medical Imaging (pp. 13-21). Springer, Cham.
Deep boosted regression for MR to CT synthesis
Kläser, K., Markiewicz, P., Ranzini, M., Li, W., Modat, M., Hutton, B.F., Atkinson, D., Thielemans, K., Cardoso, M.J. and Ourselin, S., 2018. In International Workshop on Simulation and Synthesis in Medical Imaging (pp. 61-70). Springer, Cham.