August 25, 2026 Software Open Access

Starke, Sebastian; Šmíd, Michal

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  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf", 
      "name": "Starke, Sebastian", 
      "@id": "https://orcid.org/0000-0001-5007-1868"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf", 
      "name": "\u0160m\u00edd, Michal", 
      "@id": "https://orcid.org/0000-0002-7162-7500"
    }
  ], 
  "identifier": "https://doi.org/10.14278/rodare.4976", 
  "name": "Removal of bremsstrahlung background from SAXS signals with deep neural networks: sourcecode", 
  "hasPart": [
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      "@type": "CreativeWork", 
      "@id": "https://github.com/Helmholtz-AI-Matter/bremsstrahlung_denoising/tree/v0.1.0"
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  "@type": "SoftwareSourceCode", 
  "datePublished": "2026-08-25", 
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    "https://www.hzdr.de/publications/Publ-43791"
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  "@id": "https://doi.org/10.14278/rodare.4976", 
  "url": "https://rodare.hzdr.de/record/4976", 
  "version": "v0.1.0", 
  "description": "<p>This repository contains the sourcecode used to train neural networks for the removal of bremsstrahlung background from SAXS data. Also, it offers a script to apply trained models to new noisy data.</p>"
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