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@INPROCEEDINGS{Wagner:1019167,
      author       = {Wagner, Adina Svenja and Maumet, Camille and Ganz, Melanie
                      and Praag, Cassandra Could van},
      title        = {10 years of reproducibility in biomedical research: howcan
                      we achieve generalizability and fairness?},
      reportid     = {FZJ-2023-05213},
      year         = {2023},
      abstract     = {10 years ago, a series of publications pointed to the
                      difficulty of reproducing scientific findings.
                      Thisreproducibility crisis was a wake-up call for scientific
                      communities to rethink how we practice andcommunicate
                      research, and an important driver towards greater
                      transparency and robust results. Ever since,biomedical
                      imaging undertook various efforts to overcome
                      reproducibility issues: From increasing samplesizes for
                      higher statistical power, to data sharing and increased
                      collaborations to acquire such samples, andpromoting
                      detailed reporting practices and code sharing to ease
                      computational reproducibility.But where are we standing with
                      respect to reproducible biomedical imaging now? We discuss
                      recentadvances and open questions, and focus on how the
                      conversation has moved beyond efforts to reduce
                      falsepositive findings to broader questions of
                      generalizability and fairness. How does a finding observed
                      in agiven group apply to the population at large? How does a
                      finding obtained with one analysis vary whencomputed using
                      another tool? How does a finding observed in a given group
                      apply to subgroups of thatpopulation, in particular to less
                      represented subgroups? How can open science help with the
                      complexquestions of building fair algorithms and fairness in
                      who participates in the process of science?},
      month         = {Apr},
      date          = {2023-04-18},
      organization  = {ISBI 2023, Cartagena de Indias
                       (Colombia), 18 Apr 2023 - 21 Apr 2023},
      subtyp        = {After Call},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.34734/FZJ-2023-05213},
      url          = {https://juser.fz-juelich.de/record/1019167},
}