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@MISC{Dickscheid:1031528,
      author       = {Dickscheid, Timo},
      title        = {{U}sing the multilevel human brain atlas in reproducible
                      workflows with siibra-python},
      reportid     = {FZJ-2024-05723},
      year         = {2024},
      abstract     = {<b>Using the multilevel human brain atlas in reproducible
                      workflows with siibra-python</b><br>Timo
                      Dickscheid<br><br>siibra is a software tool suite that
                      allows to access the multilevel human brain atlas by
                      providing access to reference templates at different spatial
                      scales, complementary brain parcellations maps, and
                      multimodal regional data from different sources which is
                      linked to brain anatomy at different spatial scales. Besides
                      interactive exploration in the 3D web viewer
                      siibra-explorer, the framework can be leveraged for
                      scripting, reproducible workflows and application
                      development using the siibra-python programming library.This
                      session will introduce the core concepts of siibra-python
                      and demonstrate a range of typical programming patterns to
                      use the atlas. It will cover practical coding exercises
                      demonstrating how to fetch brain region maps, access
                      high-resolution microscopy data including the BigBrain
                      dataset, and extract multimodal regional features such as
                      cortical thicknesses, cell and neurotransmitter densities,
                      gene expressions, and connectivity data. Participants will
                      gain first insight of the features of siibra-python to
                      enhance their ability to perform advanced neuroimaging
                      analyses with data coming from different modalities and
                      resolutions.},
      month         = {Jun},
      date          = {2024-06-19},
      organization  = {The Julich-Brain Atlas at EBRAINS -
                       Introduction, Concepts and Hands-on
                       Sessions, online (Germany), 19 Jun 2024
                       - 19 Jun 2024},
      subtyp        = {Outreach},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / 5254 - Neuroscientific Data Analytics and AI
                      (POF4-525) / EBRAINS 2.0 - EBRAINS 2.0: A Research
                      Infrastructure to Advance Neuroscience and Brain Health
                      (101147319) / HIBALL - Helmholtz International BigBrain
                      Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
                      / Helmholtz AI - Helmholtz Artificial Intelligence
                      Coordination Unit – Local Unit FZJ (E.40401.62)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5254 /
                      G:(EU-Grant)101147319 / G:(DE-HGF)InterLabs-0015 /
                      G:(DE-Juel-1)E.40401.62},
      typ          = {PUB:(DE-HGF)17},
      url          = {https://juser.fz-juelich.de/record/1031528},
}