% This file was created by ZeTeM Website
 
% Sören Dittmer




@INBOOK{Maass2022_b8322,
  author = {Peter Maaß and Sören Dittmer and Tobias Kluth and Johannes Leuschner and Maximilian Schmidt},
  chapter = {Mathematische Architekturen für Neuronale Netze},
  title = {Erfolgsformeln – Anwendungen der Mathematik},
  editor = {Matthias Ehrhardt and Michael Günther and Wil Schilders},
  series = {Mathematische Semesterberichte},
  pages = {190-195},
  publisher = {Springer Verlag},
  year = {2022},
  doi = {10.1007/s00591-022-00325-y}
}


@ARTICLE{Erzmann2023_bfa25,
  author = {David Erzmann and Sören Dittmer and Henrik Harms and Peter Maaß},
  title = {DL4TO: A Deep Learning Library for Sample-Efficient Topology Optimization},
  journal = {Lecture Notes in Computer Science},
  annote = {Geometric Science of Information. GSI 2023},
  volume = {14071},
  publisher = {Springer Verlag},
  year = {2023},
  doi = {10.1007/978-3-031-38271-0_54}
}


@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{Dittmer2023_89406,
  author = {Sören Dittmer and M. Roberts and J. Gilbey and Ander Biguri and . AIX-COVNET Collaboration and Jacobus Preller and J. H. F. Rudd and J. A. D. Aston and Carola-Bibiane Schönlieb},
  title = {Navigating the development challenges in creating complex data systems},
  journal = {nature machine intelligence},
  volume = {5},
  pages = {681-686},
  publisher = {Springer Verlag},
  year = {2023},
  doi = {10.1038/s42256-023-00665-x}
}


@ARTICLE{Shadbahr2023_ec31b,
  author = {T. Shadbahr and M. Roberts and J. Stanczuk and J. Gilbey and P. Teare and Sören Dittmer and M. Thorpe and R. V. Torne and E. Sala and P. Lio and M. Patel and . AIX-COVNET Collaboration and J. H. F. Rudd and T. Mirtti and A. Rannikko and J. A. D. Aston and J. Tang and Carola-Bibiane Schönlieb},
  title = {The impact of imputation quality on machine learning classifiers for datasets with missing values},
  journal = {Communication medicine},
  volume = {3},
  publisher = {Springer Verlag},
  year = {2023},
  doi = {10.1038/s43856-023-00356-z}
}

 
@UNPUBLISHED{Dittmer2022_e0ca9,
  author = {Sören Dittmer and Carola-Bibiane Schönlieb and Peter Maaß},
  title = {Ground Truth Free Denoising by Optimal Transport},
  journal = {Numerical Algebra, Control, and Optimization}
}


@ARTICLE{Dittmer2021_03824,
  author = {Sören Dittmer and Tobias Kluth and Mads Henriksen and Peter Maaß},
  title = {Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset},
  journal = {International Journal on Magnetic Particle Imaging},
  volume = {7},
  number = {1},
  year = {2021}
}


@ARTICLE{Dittmer2020_7ca2a,
  author = {Sören Dittmer and Tobias Kluth and Peter Maaß and Daniel Otero Baguer},
  title = {Regularization by architecture: A deep prior approach for inverse problems},
  journal = {Journal of Mathematical Imaging and Vision},
  volume = {62},
  number = {3},
  pages = {456-470},
  publisher = {Springer Verlag},
  year = {2020},
  doi = {10.1007/s10851-019-00923-x}
}


@ARTICLE{Dittmer2019_ceee9,
  author = {Sören Dittmer and Emily King and Peter Maaß},
  title = {Singular values for ReLU layers},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  annote = {Article},
  year = {2019}
}


@PHDTHESIS{Dittmer2020_a583c,
  author = {Sören Dittmer},
  title = {On deep learning applied to inverse problems - A chicken-and-egg problem},
  school = {Universität Bremen},
  year = {2020}
}


@CONFERENCE{Dittmer2020_7f9d5,
  author = {Sören Dittmer and Tobias Kluth and Daniel Otero Baguer and Bolko Maass},
  title = {A Deep Prior Approach to Magnetic Particle Imaging},
  booktitle = {Machine Learning for Medical Image Reconstruction 2020},
  pages = {113-122},
  year = {2020},
  doi = {10.1007/978-3-030-61598-7_11}
}