@incollection{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib},
  title     = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation},
  series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020},
  publisher = {IOS Press},
  address   = {Amsterdam},
  isbn      = {978-1-64368-137-5},
  doi       = {10.3233/FAIA200770},
  pages     = {89 -- 97},
  year      = {2020},
  abstract  = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.},
  language  = {en}
}
@incollection{Dreschers2023,
  author    = {Dreschers, Martin},
  title     = {\S25 Arbeitsrechtliche Probleme im Rahmen der Betriebsfortf{\"u}hrung},
  series = {Betriebsfortf{\"u}hrung in Restrukturierung und Insolvenz},
  booktitle = {Betriebsfortf{\"u}hrung in Restrukturierung und Insolvenz},
  editor    = {M{\"o}nning, Rolf-Dieter},
  publisher = {RWS Verlag},
  address   = {K{\"o}ln},
  isbn      = {978-3-8145-2012-4 (print)},
  doi       = {https://doi.org/10.15375/9783814558882-028},
  pages     = {947 -- 988},
  year      = {2023},
  language  = {de}
}
@incollection{Dreschers2023,
  author    = {Dreschers, Martin},
  title     = {\S18 Grenz{\"u}berschreitende Eigenverwaltung},
  series = {HRI II - Handbuch Restrukturierung in der Insolvenz},
  booktitle = {HRI II - Handbuch Restrukturierung in der Insolvenz},
  editor    = {K{\"u}bler, Bruno M. and Bork, Reinhard and Pr{\"u}tting, Hanns},
  publisher = {RWS Verlag},
  address   = {K{\"o}ln},
  isbn      = {978-3-8145-2010-0 (print)},
  doi       = {10.15375/9783814558714-028},
  pages     = {524 -- 556},
  year      = {2023},
  language  = {de}
}
@incollection{FrotscherGossmannRaatschenetal.2015,
  author    = {Frotscher, Ralf and Goßmann, Matthias and Raatschen, Hans-J{\"u}rgen and Temiz Artmann, Ayseg{\"u}l and Staat, Manfred},
  title     = {Simulation of cardiac cell-seeded membranes using the edge-based smoothed FEM},
  series = {Shell and membrane theories in mechanics and biology. (Advanced structured materials ; 45)},
  booktitle = {Shell and membrane theories in mechanics and biology. (Advanced structured materials ; 45)},
  publisher = {Springer},
  address   = {Heidelberg},
  isbn      = {978-3-319-02534-6 ; 978-3-319-02535-3},
  pages     = {187 -- 212},
  year      = {2015},
  abstract  = {We present an electromechanically coupled Finite Element model for cardiac tissue. It bases on the mechanical model for cardiac tissue of Hunter et al. that we couple to the McAllister-Noble-Tsien electrophysiological model of purkinje fibre cells. The corresponding system of ordinary differential equations is implemented on the level of the constitutive equations in a geometrically and physically nonlinear version of the so-called edge-based smoothed FEM for plates. Mechanical material parameters are determined from our own pressure-deflection experimental setup. The main purpose of the model is to further examine the experimental results not only on mechanical but also on electrophysiological level down to ion channel gates. Moreover, we present first drug treatment simulations and validate the model with respect to the experiments.},
  language  = {en}
}