Description
We will present the work and expertise of the newly established Computational Imaging Group at DESY. Being founded in mathematics, we provide expertise in inverse problems as well as theoretical foundations of machine learning methods.
We give an overview of mathematical methods in imaging and applications thereof, in particular algorithms for reducing computational cost in large scale problems. Moreover, we give insight into theoretically founded training of robust or sparse neural networks.
Keywords
Inverse problems, image reconstruction, machine learning, neural networks, robust training.
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Author
Mr
Lukas Weigand
(DESY, FS-CI and Helmholtz Imaging)
Co-authors
Mr
Lorenz Kuger
(DESY, FS-CI and Helmholtz Imaging)
Martin Burger
(DESY, FS-CI and Helmholtz Imaging)
Ms
Samira Kabri
(DESY, FS-CI and Helmholtz Imaging)
Mr
Tim Roith
(DESY, FS-CI and Helmholtz Imaging)