Constantin
Seibold

Computer Vision in Medicine Group

In our group "Computer Vision in Medicine", we tackle a variety of problems relating to the automated analysis of visual information in the clinical setting. This ranges across different fields of medical imaging from PET-CT scans over radiological data to photo-based imaging. We investigate ways how we can provide essential information to medical staff in the most efficient manner to streamline the clinical workflow.

People

Current and Past Courses

Past courses at KIT
  • Deep Learning for Computer Vision II: Advanced Topics (at KIT) [2020-2022]
  • Practical Course Computer Vision for Human-Computer Interaction (at KIT) [2020-2022]
    • Awarded Best Practical Course by the Computer Science Faculty
    • Student Papers Show more
      • Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
        Lukas Scholch, Jonas Steinhauser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen, ICPR
      • Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
        • Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen, ISBI [Oral]
      • Flying guide dog: Walkable path discovery for the visually impaired utilizing drones and transformer-based semantic segmentation
        Haobin Tan, Chang Chen, Xinyu Luo, Jiaming Zhang, Constantin Seibold, Kailun Yang, Rainer Stiefelhagen, IEEE ROBIO
      • Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
        Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen EUSIPCO

Supervised Thesis Students

Master Theses

Bachelor Theses