Teaching Exerpiences

Lectures

  • Teaching Assistant, Deep Learning for Computer Vision I: Basics SS2023, SS2024, SS2025
  • Teaching Assistant, Deep Learning for Computer Vision II: Advanced Topics WS 22/23, WS 23/24, WS 24/25
  • Teaching Assistant, Practical Course: Computer Vision for HCI SS23, SS24, SS25
    • SS23: Foot Capture: An AR-guided mobile app that enables untrained users to acquire high-quality 3D foot models using photogrammetry. Venue: Medical Imaging with Deep Learning (MIDL) 2024
    • SS24: Every Metastasis Counts: This paper introduces CC-Metrics, a connected-component-based evaluation protocol that redefines how segmentation metrics assess multi-instance medical tasks by treating each lesion equally, thereby mitigating biases toward large components in standard metrics. Venue: AAAI 2025
    • SS25: Chat with your PET: Utilizing large language models as planners to analyze radiological images, grounded in a medical knowledge base. (Ongoing)
  • Teaching Assistant, Seminar: Computer Vision for HCI, WS 21/22, WS 23/24, WS 24/25
  • Teaching Assistant, Seminar: Multimodal Large Language Models, SS2024, SS2025
  • Supervision of Master’s Thesis