% This file was created by ZeTeM Website
 
% Daniel Otero Baguer







@ARTICLE{Jansen2024_77d72,
  author = {Philipp Jansen and Jean Le Clerc Arrastia and Daniel Otero Baguer and Maximilian Schmidt and Jennifer Landsberg and Jörg Wenzel and Michael Emberger and Dirk Schadendorf and Eva Hadaschik and Peter Maaß and Klaus Georg Griewank},
  title = {Deep learning based histological classification of adnex tumors},
  journal = {European Journal of Cancer},
  annote = {113431},
  volume = {196},
  year = {2024},
  doi = {10.1016/j.ejca.2023.113431}
}


@ARTICLE{LeClercArrastia2021_a476c,
  author = {Jean Le Clerc Arrastia and Nick Heilenkötter and Daniel Otero Baguer and Lena Hauberg-Lotte and Tobias Boskamp and Sonja Hetzer and Nicole Duschner  and Jörg Schaller  and Peter Maaß},
  title = {Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma},
  journal = {MDPI Journal of Imaging},
  annote = {71},
  volume = {7},
  number = {4},
  publisher = {Meisenbach Verlag, Bamberg},
  year = {2021},
  doi = {10.3390/jimaging7040071}
}


@ARTICLE{Leuschner2021_5441e,
  author = {Johannes Leuschner and Maximilian Schmidt and Daniel Otero Baguer and Peter Maaß},
  title = {LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction},
  journal = {Scientific Data},
  volume = {8},
  number = {109},
  year = {2021},
  doi = {10.1038/s41597-021-00893-z}
}


@ARTICLE{OteroBaguer2020_8962c,
  author = {Daniel Otero Baguer and Johannes Leuschner and Maximilian Schmidt},
  title = {Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods},
  journal = {Inverse Problems},
  volume = {36},
  number = {9},
  publisher = {IOPscience},
  year = {2020},
  doi = {10.1088/1361-6420/aba415}
}


@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}
}


@PHDTHESIS{OteroBaguer2020_54989,
  author = {Daniel Otero Baguer},
  title = {Neural Networks for solving Inverse Problems. Applications in Materials Science and Medical Imaging. (submitted)},
  school = {Universität Bremen},
  year = {2020}
}


@CONFERENCE{Herdt2024_43883,
  author = {Rudolf Herdt and Maximilian Schmidt and Daniel Otero Baguer and Jean Le Clerc Arrastia and Peter Maaß},
  title = {How GAN Generators can Invert Networks in Real-Time},
  booktitle = {The 15th Asian Conference on Machine Learning - ACML 2023, 11.11.-14.11.2023},
  volume = {222},
  pages = {422-437},
  year = {2024}
}


@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}
}


@CONFERENCE{Czotscher2019_407e1,
  author = {Tobias Czotscher and Daniel Otero Baguer and Frank Vollertsen and Iwona Piotrowska-Kurczewski and Peter Maaß},
  title = {Connection Between Shock Wave Induced Indentations And Hardness By Means Of Neural Networks},
  booktitle = {22nd International Conference on Material Forming (ESAFORM 2019), 08.05.-10.05.2019},
  volume = {100001},
  year = {2019},
  doi = {10.1063/1.5112634}
}


@CONFERENCE{OteroBaguer2018_845a4,
  author = {Daniel Otero Baguer and Peter Maaß},
  title = {Inverse Problems in designing new structural materials},
  booktitle = {7th International Conference on High Performance Scientific Computing, 19.03-23.03.2018, Hanoi, Vietnam},
  pages = {149--163},
  year = {2018},
  doi = {10.1007/978-3-030-55240-4_8}
}