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@INPROCEEDINGS{Boztoprak:1031130,
      author       = {Boztoprak, Zeynep and Dickscheid, Timo and Amunts, Katrin
                      and Schiffer, Christian},
      title        = {{C}ontrastive {L}earning of {C}ytoarchitecture using
                      {S}patial {I}nformation},
      reportid     = {FZJ-2024-05541},
      year         = {2024},
      month         = {May},
      date          = {2024-05-14},
      organization  = {Helmholtz Imaging Conference 2024,
                       Heidelberg (Germany), 14 May 2024 - 15
                       May 2024},
      subtyp        = {After Call},
      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)
                      / X-BRAIN (ZT-I-PF-4-061) / JL SMHB - Joint Lab
                      Supercomputing and Modeling for the Human Brain (JL
                      SMHB-2021-2027) / 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-HGF)ZT-I-PF-4-061 / G:(DE-Juel1)JL SMHB-2021-2027 /
                      G:(DE-Juel-1)E.40401.62},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2024-05541},
      url          = {https://juser.fz-juelich.de/record/1031130},
}