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Leonhard Rist, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.138
Martensstr. 3
91058 Erlangen

  • 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

2021

Miscellaneous

2018

Conference Contributions

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

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

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