Sven Kuckertz, M.Sc.

  • Research Scientist
  • Image Registration

Publications

2020

Kuckertz S, Papenberg N, Honegger J, Morgas T, Haas B, Heldmann S (2020) Deep learning based CT-CBCT image registration for adaptive radio therapy. Proceedings of SPIE Medical Imaging: Image Processing. 113130Q:pp 1–6
Kuckertz S, Papenberg N, Honegger J, Morgas T, Haas B, Heldmann S (2020) Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy. In: Špiclin Ž, McClelland J, Kybic J, Goksel O (eds) Biomedical Image Registration. LNCS 12120, pp 44–53

2019

Hering A, Kuckertz S, Heldmann S, Heinrich MP (2019) Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin 2019. pp 309–314
Hering A, Kuckertz S, Heldmann S, Heinrich MP (2019) Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. Int J CARS 14(11):1901–1912

2018

Kuckertz S (2018) Schwach überwachtes Lernen nichtlinearer medizinischer Bildregistrierung mit neuronalen Faltungsnetzwerken. Master's thesis