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Improving Segmentation by Combining Preoperative CT and Intraoperative CBCT using Synthetic Data

  • Maximilian Ernst Tschuchnig*
  • , Philipp Steininger
  • , Michael Gadermayr
    • *Corresponding author for this work
  • medPhoton GmbH

Research output: Contribution to conference › Paper › peer-review

Original languageEnglish
Publication statusPublished - 2 Mar 2025
EventGerman Conference on Medical Image Computing - , Germany
Duration: 15 Mar 2025 → 17 Mar 2025
Conference number: 2025
https://www.bvm-conf.org/

Conference

ConferenceGerman Conference on Medical Image Computing
Abbreviated titleBVM
Country/TerritoryGermany
Period15/03/25 → 17/03/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

  • 102019 Machine learning

Applied Research Level (ARL)

  • ARL Level 3 - Proof of the functionality of a principle

Research focus/foci

  • Industrial Informatics
  • Applied Health Innovation

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