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@ARTICLE{Li:277125,
      author       = {J. Li and A. Ferreira and B. Puladi and V. Alves and M.
                      Kamp and M. Kim and F. Nensa and J. Kleesiek$^*$ and S.-A.
                      Ahmadi and J. Egger},
      title        = {{O}pen-source skull reconstruction with {MONAI}},
      journal      = {SoftwareX},
      volume       = {23},
      issn         = {2352-7110},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2023-01287},
      pages        = {101432},
      year         = {2023},
      abstract     = {We present a deep learning model based on an autoencoder
                      for the reconstruction of cranial and facialdefects using
                      the Medical Open Network for Artificial Intelligence (MONAI)
                      framework, which has beenpre-trained on the MUG500+ and
                      SkullFix dataset. The implementation follows the MONAI
                      contributionguidelines, hence, it can be easily tried out
                      and used, and extended by MONAI users. The primary goalof
                      this paper lies in the investigation of open-sourcing codes
                      and pre-trained deep learning modelsunder the MONAI
                      framework. The pre-trained models generated in this work
                      deliver reasonable resultson the cranial and facial
                      reconstruction task and provide an ideal starting-point for
                      other researchersinterested in further investigating the
                      topic. We released the codes and the pre-trained model at
                      theofficial MONAI ‘research contributions’ GitHub
                      repository:
                      https://github.com/Project-MONAI/researchcontributions/tree/master/SkullRec.
                      This contribution has two novelties: 1. Pre-training an
                      autoencoderon the MUG500+ and SkullFix dataset for cranial
                      and facial reconstruction using MONAI, and opensourcing the
                      codes and weights for other MONAI users; 2. Demonstrating
                      that existing MONAI tutorialscan be easily adapted to new
                      use cases, such as skull (cranial and facial)
                      reconstruction.},
      cin          = {ED01},
      ddc          = {004},
      cid          = {I:(DE-He78)ED01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.softx.2023.101432},
      url          = {https://inrepo02.dkfz.de/record/277125},
}