Dr. Maximilian Schmidt
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 R. Barbano, J. Leuschner, M. Schmidt [...] Mechanics, 20(1):e202000179, 2021. DOI: https://doi.org/10.1002/pamm.202000179 online unter: https://onlinelibrary.wiley.com/doi/abs/10.1002/pamm.202000179 M. Schmidt, A. Denker, J. Leuschner. The Deep [...] Wildner, 2020 Publikationen Lebenslauf Lehre Zeitschriftenartikel C. Arndt, A. Denker, S. Dittmer, J. Leuschner, J. Nickel, M. Schmidt. Model-based deep learning approaches to the Helsinki Tomography Challenge