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@MISC{Schiffer:888519,
      author       = {Schiffer, Christian and Kiwitz, Kai and Amunts, Katrin and
                      Dickscheid, Timo},
      title        = {{U}ltrahigh resolution 3{D} cytoarchitectonic map of {A}rea
                      h{O}c5 ({LOC}) created by a {D}eep-{L}earning assisted
                      workflow},
      publisher    = {EBRAINS},
      reportid     = {FZJ-2020-04983},
      year         = {2020},
      abstract     = {This dataset contains automatically created
                      cytoarchitectonic maps of Area hOc5 (LOC) in the BigBrain.
                      Mappings were created using Deep Convolutional Neural
                      networks trained on delineations on every 60th section using
                      multivariate statistical image analysis, applied to
                      GLI-images of coronal histological sections of 1 micron
                      resolution. Resulting mappings are available on every
                      section. Maps were transformed to the 3D reconstructed
                      BigBrain space. Individual sections were used to assemble a
                      3D volume of the area, low quality results were replaced by
                      interpolations between nearest neighboring sections. The
                      volume was then smoothed using an 11³ median filter and
                      largest connected components were identified to remove false
                      positive results. The dataset consists of a HDF5 file
                      containing the volume in RAS dimension ordering (20 micron
                      isotropic resolution, dataset “volume”) and an affine
                      transformation matrix (dataset “affine”). An additional
                      dataset $“interpolation_info”$ contains an integer
                      vector for each section which indicates if a section was
                      interpolated due to low quality results (value 2) or not
                      (value 1).},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.25493/2V62-TTG},
      url          = {https://juser.fz-juelich.de/record/888519},
}