% This file was created by ZeTeM Website
 
% Nick Heilenkötter







@ARTICLE{NganyuTanyu2023_87e66,
  author = {Derick Nganyu Tanyu and Jianfeng Ning and Tom Freudenberg and Nick Heilenkötter and Andreas Rademacher and Uwe Iben and Peter Maaß},
  title = {Deep learning methods for partial differential equations and related parameter identification problems},
  journal = {Inverse Problems},
  volume = {39},
  number = {10},
  year = {2023},
  doi = {10.1088/1361-6420/ace9d4}
}


@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{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}
}