Invertible residual networks in the context of regularization theory for linear inverse problems. - Clemens Arndt; Alexander Denker; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Peter Maass; Judith Nickel (CoRR, 2023)

Bayesian view on the training of invertible residual networks for solving linear inverse problems. - Clemens Arndt; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Judith Nickel (CoRR, 2023)

Fourier-Domain Inversion for the Modulo Radon Transform. - Matthias Beckmann; Ayush Bhandari; Meira Iske (IEEE Trans. Computational Imaging, 2024)

Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging. - Meira Iske; Hannes Albers; Tobias Knopp 001; Tobias Kluth (IEEE Trans. Computational Imaging, 2025)