Constantin
Seibold

Post-doctoral Researcher at University Medicine Essen
Junior Research Group Leader for Computer Vision in Medicine
constantin.seibold[at]uk-essen.de
Curriculum Vitae

Open Thesis Topics

If you are a student within the University Alliance Ruhr {RU Bochum, TU Dortmund, or Uni-DuE} and are passionate about one of {machine learning, deep learning, computer vision} and its application to medicine in your thesis - please contact me with your subject starting with [Thesis-CVMed], your a transcript of records and a few sentences about yourself.

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