Stefan Wörz

1.5k total citations
68 papers, 978 citations indexed

About

Stefan Wörz is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefan Wörz has authored 68 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 16 papers in Biophysics and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Wörz's work include Medical Image Segmentation Techniques (30 papers), Cell Image Analysis Techniques (16 papers) and Advanced Vision and Imaging (9 papers). Stefan Wörz is often cited by papers focused on Medical Image Segmentation Techniques (30 papers), Cell Image Analysis Techniques (16 papers) and Advanced Vision and Imaging (9 papers). Stefan Wörz collaborates with scholars based in Germany, Switzerland and South Korea. Stefan Wörz's co-authors include Karl Rohr, Karl Rohr, K. Rohr, Roland Eils, William J. Godinez, Karsten Rippe, Bárbara Müller, Marko Lampe, Hendrik von Tengg‐Kobligk and Fabian Rengier and has published in prestigious journals such as Genes & Development, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Stefan Wörz

66 papers receiving 960 citations

Peers

Stefan Wörz

CVPR

PRM

RNMI

BIOPH

Tingying Peng Germany

Tobias Boskamp Germany

Germán González United States

Martin Baiker Netherlands

Rajarsi Gupta United States

Vijay Rajagopal Australia

Navid Farahani United States

Jun Cheng China

Evan McCreedy United States

Tingying Peng Germany

Stefan Wörz

318 ×1.1

CVPR

200 ×0.7

65 ×0.3

PRM

473 ×2.8

RNMI

239 ×1.5

BIOPH

Citations per year, relative to Stefan Wörz Stefan Wörz (= 1×) peers Tingying Peng

Countries citing papers authored by Stefan Wörz

Since Specialization

Citations

This map shows the geographic impact of Stefan Wörz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Wörz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Wörz more than expected).

Fields of papers citing papers by Stefan Wörz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Wörz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Wörz. The network helps show where Stefan Wörz may publish in the future.

Co-authorship network of co-authors of Stefan Wörz

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Wörz. A scholar is included among the top collaborators of Stefan Wörz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Wörz. Stefan Wörz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Al‐Ahmad, Amin, Dhanunjaya Lakkireddy, Anish K. Amin, et al.. (2025). PO-FP-009 QUANTITATIVE COMPARISON OF A NOVEL IMAGE-BASED IN-PROCEDURE RAPID DIGITAL ANATOMY RECONSTRUCTION TO PRE-OPERATIVE CT: IS REAL-TIME IMAGE-BASED 3D CARDIAC NAVIGATION THE FUTURE?. Heart Rhythm. 22(4). S81–S81.

Wörz, Stefan, Benjamin Egenlauf, Sasan Partovi, et al.. (2019). Combined automated 3D volumetry by pulmonary CT angiography and echocardiography for detection of pulmonary hypertension. European Radiology. 29(11). 6059–6068. 15 indexed citations

Wörz, Stefan, Matthias Hahn, Andreas Biesdorf, et al.. (2016). A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci. Medical Image Analysis. 32. 18–31. 8 indexed citations

Rengier, Fabian, Stefan Wörz, Sebastian Ley, et al.. (2016). Automated 3D Volumetry of the Pulmonary Arteries based on Magnetic Resonance Angiography Has Potential for Predicting Pulmonary Hypertension. PLoS ONE. 11(9). e0162516–e0162516. 13 indexed citations

Gunkel, Manuel, Inn Chung, Stefan Wörz, et al.. (2016). Quantification of telomere features in tumor tissue sections by an automated 3D imaging-based workflow. Methods. 114. 60–73. 7 indexed citations

Liesche, Clarissa, Kristin S. Grußmayer, Michael Ludwig, et al.. (2015). Automated Analysis of Single-Molecule Photobleaching Data by Statistical Modeling of Spot Populations. Biophysical Journal. 109(11). 2352–2362. 24 indexed citations

Müller–Eschner, Matthias, Andreas Biesdorf, Stefan Wörz, et al.. (2014). 3D morphometry using automated aortic segmentation in native MR angiography: an alternative to contrast enhanced MRA?. PubMed. 4(2). 80–7. 5 indexed citations

Hahn, Matthias, Silvia Dambacher, Stanimir Dulev, et al.. (2013). Suv4-20h2 mediates chromatin compaction and is important for cohesin recruitment to heterochromatin. Genes & Development. 27(8). 859–872. 91 indexed citations

Rohr, Karl, et al.. (2013). Globally Optimal Curvature-Regularized Fast Marching for Vessel Segmentation. Lecture notes in computer science. 16(Pt 1). 550–557. 15 indexed citations

10.

Seo, Sang Won, Chang‐Ki Kang, Sook Hui Kim, et al.. (2012). Measurements of lenticulostriate arteries using 7T MRI: new imaging markers for subcortical vascular dementia. Journal of the Neurological Sciences. 322(1-2). 200–205. 38 indexed citations

11.

Biesdorf, Andreas, Karl Rohr, Feng Duan, et al.. (2012). Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. Medical Image Analysis. 16(6). 1187–1201. 20 indexed citations

12.

Rengier, Fabian, Stefan Wörz, William J. Godinez, et al.. (2011). Development of In Vivo Quantitative Geometric Mapping of the Aortic Arch for Advanced Endovascular Aortic Repair: Feasibility and Preliminary Results. Journal of Vascular and Interventional Radiology. 22(7). 980–986. 5 indexed citations

13.

Wörz, Stefan, Jürgen Reymann, Frank Sieckmann, et al.. (2011). A three‐dimensional colocalization RNA interference screening platform to elucidate the alternative lengthening of telomeres pathway. Biotechnology Journal. 7(1). 103–116. 11 indexed citations

14.

Wörz, Stefan, Martin Pfannmöller, R. J. Rieker, et al.. (2010). 3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Images of Human Soft Tissue Tumors. IEEE Transactions on Medical Imaging. 29(8). 1474–1484. 20 indexed citations

15.

Biesdorf, Andreas, Karl Rohr, Hendrik von Tengg‐Kobligk, & Stefan Wörz. (2010). Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. Lecture notes in computer science. 13(Pt 1). 444–451. 1 indexed citations

16.

Maier‐Hein, Lena, Sascha Müller, Frank Pianka, et al.. (2008). Respiratory motion compensation for CT-guided interventions in the liver. Computer Aided Surgery. 13(3). 125–138. 22 indexed citations

17.

Wörz, Stefan, et al.. (2007). Segmentation and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model. IEEE Transactions on Image Processing. 16(8). 1994–2004. 56 indexed citations

18.

Wörz, Stefan & Karl Rohr. (2006). Physics-Based Elastic Image Registration Using Splines and Including Landmark Localization Uncertainties. Lecture notes in computer science. 9(Pt 2). 678–685. 8 indexed citations

19.

Wörz, Stefan & Karl Rohr. (2006). Limits on Estimating the Width of Thin Tubular Structures in 3D Images. Lecture notes in computer science. 9(Pt 1). 215–222. 4 indexed citations

20.

Wörz, Stefan & Karl Rohr. (2003). Localization of Anatomical Point Landmarks in 3D Medical Images by Fitting 3D Parametric Intensity Models. Lecture notes in computer science. 18. 76–88. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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