• Jump to content
  • Jump to navigation
  • Jump to bottom of page
Simulate organization breadcrumb open Simulate organization breadcrumb close
Pattern Recognition Lab
  • FAUTo the central FAU website
  • Campo
  • UnivIS
  • Jobs
  • Map
  • Help

Pattern Recognition Lab

Navigation Navigation close
  • Overview
    • Contact
    • Directions
    Portal Overview
  • Team
    • Former PRL members
    Portal Team
  • Research
    • Research Groups
    • Research Projects
    • Pattern Recognition Blog
    • Beyond the Patterns
    • Publications
    • Research Demo Videos
    • Datasets
    • Competitions
    Portal Research
  • Teaching
    • Curriculum / Courses
    • Lecture Notes
    • Lecture Videos
    • Thesis / Projects
    • Free Machine and Deep Learning Resources
    • Free Medical Engineering Resources
    • LME Videos
    Portal Teaching
  • Lab
    • News
    • Ph.D. Gallery
    • Cooperations
    • Join the Pattern Recognition Lab
    Portal Lab
  1. Home
  2. Research
  3. Research Groups
  4. Other Projects
  5. Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen

Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen

In page navigation: Research
  • Beyond the Patterns
  • Competitions
  • Publications
  • Datasets

Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen

Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen

(Third Party Funds Group – Sub project)

Overall project: Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen
Project leader: Andreas Maier
Project members:
Start date: June 1, 2018
End date: May 31, 2021
Acronym: AIT4Surgery
Funding source: Bundesministerium für Bildung und Forschung (BMBF)
URL:

Abstract

Publications

  • Maier J., Schottenhamml J., Madhu P., da Costa CA., Maier A.:
    Analysis of Interventional Workflow Phases based on Image Classification
    65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) (Berlin (online conference), September 6, 2020 - September 9, 2020)
    In: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) 2021
    DOI: 10.3205/20gmds187
    URL: https://www.egms.de/static/en/meetings/gmds2020/20gmds187.shtml
    BibTeX: Download

Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
  • Login
  • Intranet
  • Imprint
  • Privacy
  • Accessibility
Up