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

Starke, Sebastian; Smid, Michal


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{
  "version": "1", 
  "title": "Software: removal of bremsstrahlung background from SAXS signals with deep neural networks", 
  "language": "eng", 
  "type": "article", 
  "abstract": "<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>", 
  "issued": {
    "date-parts": [
      [
        2023, 
        11, 
        29
      ]
    ]
  }, 
  "DOI": "10.14278/rodare.2586", 
  "publisher": "Rodare", 
  "author": [
    {
      "family": "Starke, Sebastian"
    }, 
    {
      "family": "Smid, Michal"
    }
  ], 
  "id": "2586"
}
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