% This file was created by ZeTeM Website
 
% Judith Nickel







@ARTICLE{Arndt2023_d6b14,
  author = {Clemens Arndt and Alexander Denker and Sören Dittmer and Nick Heilenkötter and Meira Iske and Tobias Kluth and Peter Maaß and Judith Nickel},
  title = {Invertible residual networks in the context of regularization theory for linear inverse problems},
  journal = {Inverse Problems},
  volume = {39},
  number = {12},
  publisher = {IOPscience},
  year = {2023},
  doi = {10.1088/1361-6420/ad0660}
}


@ARTICLE{Arndt2023_c4b93,
  author = {Clemens Arndt and Alexander Denker and Sören Dittmer and Johannes Leuschner and Judith Nickel and Maximilian Schmidt},
  title = {Model-based deep learning approaches to the Helsinki Tomography Challenge 2022},
  journal = {Applied Mathematics for Modern Challenges},
  volume = {1},
  number = {2},
  year = {2023},
  doi = {10.3934/ammc.2023007}
}


@ARTICLE{Arndt2022_916b9,
  author = {Clemens Arndt and Alexander Denker and Judith Nickel and Johannes Leuschner and Maximilian Schmidt and Gael Rigaud},
  title = {In Focus - hybrid deep learning approaches to the HDC2021 challenge},
  journal = {Inverse Problems and Imaging},
  year = {2022},
  doi = {10.3934/ipi.2022061}
}


@ARTICLE{Beckmann2020_fc854,
  author = {Matthias Beckmann and Peter Maaß and Judith Nickel},
  title = {Error analysis for filtered back projection reconstructions in Besov spaces},
  journal = {Inverse Problems},
  annote = {37 014002},
  volume = {37},
  number = {1},
  publisher = {IOPscience},
  year = {2020}
}