Clemens Arndt
Deep Learning und Inverse Probleme Bibliothekstraße 5 28359 Bremen Raum: MZH 2300 Telefon: +49 421 218-63808 E-Mail: carndt protect me ?! uni-bremen protect me ?! .de Forschungsgebiete Deep Learning Inverse [...] nartikel C. Arndt, A. Denker, S. Dittmer, J. Leuschner, J. Nickel, M. Schmidt. Model-based deep learning approaches to the Helsinki Tomography Challenge 2022. Applied Mathematics for Modern Challenges [...] 011 C. Arndt, A. Denker, J. Nickel, J. Leuschner, M. Schmidt, G. Rigaud. In Focus - hybrid deep learning approaches to the HDC2021 challenge. Inverse Problems and Imaging, 2022. DOI: 10.3934/ipi.2022061