Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

• Christina Gsaxner,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliations Institute for Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria, Computer Algorithms for Medicine Laboratory, Graz, Austria, Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz, Styria, Austria

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• Peter M. Roth,

  Roles Resources

  Affiliation Institute for Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria

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• Jürgen Wallner,

  Roles Data curation, Funding acquisition, Project administration, Resources, Supervision

  Affiliations Computer Algorithms for Medicine Laboratory, Graz, Austria, Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz, Styria, Austria

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• Jan Egger

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: egger@tugraz.at, j.wallner@medunigraz.at

  Affiliations Institute for Computer Graphics and Vision, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria, Computer Algorithms for Medicine Laboratory, Graz, Austria, Department of Oral & Maxillofacial Surgery, Medical University of Graz, Auenbruggerplatz, Styria, Austria

  http://orcid.org/0000-0002-5225-1982

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