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@ARTICLE{MaierHein:163703,
      author       = {L. Maier-Hein$^*$ and A. Reinke$^*$ and M. Kozubek and A.
                      L. Martel and T. Arbel and M. Eisenmann$^*$ and A. Hanbury
                      and P. Jannin and H. Müller and S. Onogur and J.
                      Saez-Rodriguez and B. van Ginneken and A. Kopp-Schneider$^*$
                      and B. A. Landman},
      title        = {{BIAS}: {T}ransparent reporting of biomedical image
                      analysis challenges.},
      journal      = {Medical image analysis},
      volume       = {66},
      issn         = {1361-8415},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2020-01979},
      pages        = {101796},
      year         = {2020},
      note         = {#EA:E130#},
      abstract     = {The number of biomedical image analysis challenges
                      organized per year is steadily increasing. These
                      international competitions have the purpose of benchmarking
                      algorithms on common data sets, typically to identify the
                      best method for a given problem. Recent research, however,
                      revealed that common practice related to challenge reporting
                      does not allow for adequate interpretation and
                      reproducibility of results. To address the discrepancy
                      between the impact of challenges and the quality (control),
                      the Biomedical Image Analysis ChallengeS (BIAS) initiative
                      developed a set of recommendations for the reporting of
                      challenges. The BIAS statement aims to improve the
                      transparency of the reporting of a biomedical image analysis
                      challenge regardless of field of application, image modality
                      or task category assessed. This article describes how the
                      BIAS statement was developed and presents a checklist which
                      authors of biomedical image analysis challenges are
                      encouraged to include in their submission when giving a
                      paper on a challenge into review. The purpose of the
                      checklist is to standardize and facilitate the review
                      process and raise interpretability and reproducibility of
                      challenge results by making relevant information explicit.},
      cin          = {E130 / C060},
      ddc          = {610},
      cid          = {I:(DE-He78)E130-20160331 / I:(DE-He78)C060-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32911207},
      doi          = {10.1016/j.media.2020.101796},
      url          = {https://inrepo02.dkfz.de/record/163703},
}