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Software: removal of bremsstrahlung background from SAXS signals with deep neural networks

Starke, Sebastian; Smid, Michal


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{
  "description": "<p>Software for training and inference of neural network models to remove bremsstrahlung background from SAXS imaging data obtained at the European XFEL laboratory.</p>\n\n<p>We thank Peter Steinbach for providing the codebase for the equivariant UNet, which we integrated into our repository.</p>", 
  "keywords": [
    "SAXS", 
    "XFEL", 
    "equivariant neural networks", 
    "noise removal"
  ], 
  "identifier": "https://doi.org/10.14278/rodare.2586", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "@context": "https://schema.org/", 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-37977"
  ], 
  "name": "Software: removal of bremsstrahlung background from SAXS signals with deep neural networks", 
  "@id": "https://doi.org/10.14278/rodare.2586", 
  "creator": [
    {
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0001-5007-1868", 
      "name": "Starke, Sebastian", 
      "affiliation": "HZDR"
    }, 
    {
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0002-7162-7500", 
      "name": "Smid, Michal", 
      "affiliation": "HZDR"
    }
  ], 
  "datePublished": "2023-11-29", 
  "version": "1", 
  "@type": "SoftwareSourceCode", 
  "url": "https://rodare.hzdr.de/record/2586"
}
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