November 29, 2023 Software Closed Access

Starke, Sebastian; Smid, Michal

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  <dc:creator>Starke, Sebastian</dc:creator>
  <dc:creator>Smid, Michal</dc:creator>
  <dc:date>2023-11-29</dc:date>
  <dc:description>Software for training and inference of neural network models to remove bremsstrahlung background from SAXS imaging data obtained at the European XFEL laboratory.

We thank Peter Steinbach for providing the codebase for the equivariant UNet, which we integrated into our repository.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/2586</dc:identifier>
  <dc:identifier>10.14278/rodare.2586</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:2586</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-37977</dc:relation>
  <dc:relation>doi:10.14278/rodare.2585</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/closedAccess</dc:rights>
  <dc:subject>SAXS</dc:subject>
  <dc:subject>XFEL</dc:subject>
  <dc:subject>equivariant neural networks</dc:subject>
  <dc:subject>noise removal</dc:subject>
  <dc:title>Software: removal of bremsstrahlung background from SAXS signals with deep neural networks</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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