University of Heidelberg

PD Dr. Stefan Wörz

Research Associate in the Biomedical Computer Vision Group (BMCV) at the University of Heidelberg (BioQuant, IPMB, Dept. Bioinformatics & Functional Genomics) and the German Cancer Research Center (DKFZ, Div. Theoretical Bioinformatics).

Research interest

2D and 3D biomedical image analysis

  • 3D model-based landmark localization
  • 3D model-based vessel segmentation
  • 2D and 3D spline-based image registration
  • 2D and 3D model-based cell segmentation
  • 2D and 3D parametric intensity models


Open Positions

I am offering projects for Bachelor, Master, and Diploma theses in the field of biomedical computer vision. For additional information, please contact me directly by email (s.woerz at
Example projects:

  • Multimodal elastic image registration
  • Detection of vessel branches in 3D MRA and CTA images
  • Spot detection in 2D and 3D cell images

Please send your full application including CV and transcripts of relevant certificates (e.g., Master and Bachelor degrees as well as general qualification for university entrance) by email (s.woerz at Please submit your CV in Pdf format (other formates such as Word cannot be accepted)!

See also here for open positions of the BMCV group.


See the full list of publications (see also the following lists: Research Gate, PubMed, DBLP).

Selected recent publications:

  • S. Wörz. 3D Parametric Intensity Models for the Localization of 3D Anatomical Point Landmarks and 3D Segmentation of Human Vessels. PhD thesis, KOGS, Faculty of Informatics, University of Hamburg, Germany. DISKI 299, infix/Aka, Berlin, Germany, 2006. [Aka], [DISKI 299], [IOS Press], [Amazon].

  • S. Wörz and K. Rohr. Cramer-Rao Bounds for Estimating the Position and Width of 3D Tubular Structures and Analysis of Thin Structures with Application to Vascular Images. J. of Mathematical Imaging and Vision, 30:2, 167-180, 2008

  • S. Heinzer, S. Wörz, C. Kalla, K. Rohr, and M. Weiss. A model for the self-organization of exit sites in the endoplasmic reticulum. J. of Cell Science, 121:1, 55-64, 2008

  • S. Wörz and K. Rohr. Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model. IEEE Trans. on Image Processing, 16:8, 1994-2004, 2007

  • S. Wörz and K. Rohr. Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models. Medical Image Analysis, 10:1, 41-58, 2006


PD Dr. Stefan Wörz

University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg
Dept. Bioinformatics & Functional Genomics
Biomedical Computer Vision Group

BioQuant Center (BQ-020)
Im Neuenheimer Feld 267 (3rd floor, room 341)
69120 Heidelberg, Germany

Email: s.woerz (at) dkfz . de
Tel: +49 - (0) 6221 - 54 51297
Fax: +49 - (0) 6221 - 54 51488

Contact: E-Mail (Last update: 29/12/2015)