• Since 02/2021:
  PhD Student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg in cooperation with Siemens Healthineers AG, Forchheim
  Research Topic: Cerebral vasculature analysis for Computed Tomography
• 04/2018 – 01/2021:
  Master’s Degree in Medical Engineering with focus on Medical Imaging and Data Processing, FAU Erlangen-Nürnberg
  Master’s Thesis: “Geometric Deep Learning for Mutlifocal Diseases”
• 10/2014 – 03/2018:
  Bachelor’s Degree in Medical Engineering with focus on Imaging Systems, FAU Erlangen-Nürnberg
  Bachelor’s Thesis: “A Flexible Calibration Phantom for FD-CT using Cross-Ratios”

No projects found.

Collaboration with Siemens Healthineers for the analysis and visualization of brain vasculature in CTA scans

Übung (UE)

• Deep Learning Exercises

  This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course

  • Thu 14:00-16:00, Room 0.01-142 CIP
  • Wed 16:00-18:00, Room 0.01-142 CIP
  • Fri 8:00-10:00, Room 0.01-142 CIP
  • Tue 18:00-20:00, Room 0.01-142 CIP
  • Mon 12:00-14:00, Room 0.01-142 CIP

• Deep Learning Exercises

  This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course

  • Mon 12:00-14:00, Room 0.01-142 CIP
  • Tue 18:00-20:00, Room 0.01-142 CIP
  • Wed 16:00-18:00, Room 0.01-142 CIP
  • Fri 8:00-10:00, Room 0.01-142 CIP
  • Thu 14:00-16:00, Room 0.01-142 CIP

Vorlesung (VORL)

• Deep Learning

  Information regarding the online teaching will be added to the studon course

  • Fri 8:15-9:45, Room H7

• Deep Learning

  Information regarding the online teaching will be added to the studon course

  • Fri 8:15-9:45, Room H7