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@ARTICLE{Naunheim:982980,
      author       = {Naunheim, Stephan Niklas and Kuhl, Yannick and Schug, David
                      and Schulz, Volkmar Adolf and Müller, Florian},
      title        = {{I}mproving the {T}iming {R}esolution of {P}ositron
                      {E}mission {T}omography {D}etectors {U}sing {B}oosted
                      {L}earning—{A} {R}esidual {P}hysics {A}pproach},
      journal      = {IEEE transactions on neural networks and learning systems},
      volume       = {36},
      number       = {1},
      issn         = {2162-2388},
      address      = {[New York, NY]},
      publisher    = {IEEE},
      reportid     = {RWTH-CONV-253064},
      pages        = {582-594},
      year         = {2025},
      note         = {Date of Publication: 20 October 2023},
      cin          = {811003-3 / 811003-4 / 133510 / 130000},
      cid          = {$I:(DE-82)811003-3_20140620$ / $I:(DE-82)811003-4_20140620$
                      / $I:(DE-82)133510_20140620$ / $I:(DE-82)130000_20140620$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001124146600001},
      pubmed       = {pmid:37862278},
      doi          = {10.1109/TNNLS.2023.3323131},
      url          = {https://publications.rwth-aachen.de/record/982980},
}