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@MISC{Schiffer:1016811,
      author       = {Schiffer, Christian and Bruno, Ariane and Lothmann,
                      Kimberley and Amunts, Katrin and Dickscheid, Timo and
                      Amunts, Katrin},
      title        = {3{D} cytoarchitectonic map of the human {A}rea {SFG}4 of
                      the {B}ig{B}rain (v2.0)},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2023-03795},
      year         = {2023},
      abstract     = {This dataset contains cytoarchitectonic maps of the Area
                      SFG4 of the BigBrain cortex and subcortical structures. The
                      maps are based on reference delineations in serial
                      histological sections of the BigBrain at 1 micron resolution
                      in-plane, with a distance of sections typically not lower
                      than 300 micrometres. The 3D cytoarchitectonic maps were
                      created in two different approaches: (1) As first version, a
                      3D map of the area was created by simple interpolation of
                      the respective reference delineations. (2) As second
                      version, a 3D map was created using deep convolutional
                      neural networks trained on the respective reference
                      delineations. As a result, the latter version also includes
                      delineations of the area in the sections in-between
                      reference delineations. The 3D maps were transformed to the
                      3D reconstructed BigBrain space and are integrated into the
                      Julich-Brain Cytarchitectonic Atlas.},
      keywords     = {Neuroscience (Other)},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/T1C3-Z2B},
      url          = {https://juser.fz-juelich.de/record/1016811},
}