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@MASTERSTHESIS{Straburger:290589,
      author       = {S. Straßburger$^*$},
      title        = {{I}nvestigating the effectivity of deep learning,
                      specifically nn{U}-{N}et, in enhancing in vivo
                      {F}luorescence {M}olecular {T}omography through semantic
                      segmentation as an alternative to resolving the ill-posed
                      inverse problem},
      school       = {Universität Heidelberg},
      type         = {Bachelorarbeit},
      reportid     = {DKFZ-2024-01186},
      year         = {2024},
      note         = {Bachelorarbeit, Universität Heidelberg, 2024},
      cin          = {E020},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)2},
      url          = {https://inrepo02.dkfz.de/record/290589},
}