Michael Scheuering

1.3k total citations
24 papers, 898 citations indexed

About

Michael Scheuering is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Michael Scheuering has authored 24 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Michael Scheuering's work include Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Computer Graphics and Visualization Techniques (4 papers). Michael Scheuering is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (7 papers) and Computer Graphics and Visualization Techniques (4 papers). Michael Scheuering collaborates with scholars based in Germany, United States and South Korea. Michael Scheuering's co-authors include Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, Adrian Barbu, Daniel Rinck, Dominik Fritz, Christof Rezk‐Salama, Grzegorz Soza, G. Greiner and Anja Reimann and has published in prestigious journals such as The American Journal of Cardiology, IEEE Transactions on Medical Imaging and European Radiology.

In The Last Decade

Michael Scheuering

23 papers receiving 866 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Scheuering Germany 15 458 411 339 243 185 24 898
Cristian Lorenz Germany 18 421 0.9× 472 1.1× 656 1.9× 145 0.6× 304 1.6× 65 1.3k
Peter Mountney United Kingdom 19 194 0.4× 641 1.6× 305 0.9× 106 0.4× 350 1.9× 55 1.2k
Coert Metz Netherlands 15 451 1.0× 370 0.9× 187 0.6× 158 0.7× 147 0.8× 32 752
Olivier Ecabert Germany 12 323 0.7× 358 0.9× 247 0.7× 240 1.0× 118 0.6× 24 725
Peter J. Yim United States 13 253 0.6× 266 0.6× 92 0.3× 153 0.6× 102 0.6× 34 736
Mark E. Olszewski United States 15 515 1.1× 207 0.5× 303 0.9× 266 1.1× 304 1.6× 36 870
Avan Suinesiaputra New Zealand 19 773 1.7× 264 0.6× 242 0.7× 703 2.9× 122 0.7× 60 1.3k
Vladimír Pekar Germany 15 686 1.5× 533 1.3× 511 1.5× 54 0.2× 117 0.6× 37 1.3k
Michael Suehling Germany 14 365 0.8× 212 0.5× 276 0.8× 100 0.4× 124 0.7× 28 727
Matthias John Germany 15 173 0.4× 168 0.4× 131 0.4× 187 0.8× 71 0.4× 38 571

Countries citing papers authored by Michael Scheuering

Since Specialization
Citations

This map shows the geographic impact of Michael Scheuering'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 Michael Scheuering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Scheuering more than expected).

Fields of papers citing papers by Michael Scheuering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Scheuering. 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 Michael Scheuering. The network helps show where Michael Scheuering may publish in the future.

Co-authorship network of co-authors of Michael Scheuering

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Scheuering. A scholar is included among the top collaborators of Michael Scheuering 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 Michael Scheuering. Michael Scheuering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Achenbach, Stephan, Jens Röther, Thomas Redel, et al.. (2015). Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserve. The American Journal of Cardiology. 117(1). 29–35. 65 indexed citations
2.
Ebersberger, Ullrich, Roy Marcus, U. Joseph Schoepf, et al.. (2013). Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software. European Radiology. 24(1). 191–199. 32 indexed citations
3.
Vega-Higuera, Fernando, et al.. (2009). Multi-scale feature extraction for learning-based classification of coronary artery stenosis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 726002–726002. 17 indexed citations
4.
Zheng, Yefeng, Bogdan Georgescu, Haibin Ling, et al.. (2009). Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 194–201. 20 indexed citations
5.
Fritz, Dominik, et al.. (2008). Learning-Based Detection of Stenotic Lesions in Coronary CT Data.. Vision Modeling and Visualization. 189–198. 3 indexed citations
6.
Mahnken, Andreas H., Stefan Lautenschläger, Dominik Fritz, Ralf Koos, & Michael Scheuering. (2008). Perfusion weighted color maps for enhanced visualization of myocardial infarction by MSCT: preliminary experience. International journal of cardiac imaging. 24(8). 883–890. 16 indexed citations
7.
Zheng, Yefeng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, & Dorin Comaniciu. (2008). Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Transactions on Medical Imaging. 27(11). 1668–1681. 372 indexed citations
8.
Ionasec, Razvan, Bogdan Georgescu, Eva Gassner, et al.. (2008). Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT. Lecture notes in computer science. 11(Pt 1). 686–694. 22 indexed citations
9.
Reimann, Anja, Ilias Tsiflikas, Harald Brodoefel, et al.. (2008). Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography. International journal of cardiac imaging. 25(2). 195–203. 15 indexed citations
10.
Zheng, Yefeng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, & Dorin Comaniciu. (2008). Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8 indexed citations
11.
Reimann, Anja, Daniel Rinck, Michael Scheuering, et al.. (2007). Dual-Source Computed Tomography. Investigative Radiology. 42(3). 196–203. 54 indexed citations
12.
Fritz, Dominik, et al.. (2007). Automatic 4D segmentation of the left ventricle in cardiac-CT data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6512. 65123N–65123N. 3 indexed citations
13.
Zheng, Yefeng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, & Dorin Comaniciu. (2007). Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. 1–8. 85 indexed citations
14.
Fritz, Dominik, Daniel Rinck, Rüdiger Dillmann, & Michael Scheuering. (2006). Segmentation of the left and right cardiac ventricle using a combined bi-temporal statistical model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6141. 614121–614121. 24 indexed citations
15.
Hennemuth, Anja, Tobias Boskamp, Dominik Fritz, et al.. (2005). One-click coronary tree segmentation in CT angiographic images. International Congress Series. 1281. 317–321. 41 indexed citations
16.
Scheuering, Michael, et al.. (2003). Fusion von Freihand-Videosequenzen mit triangulierten Oberflächen zur 3D-Szenenexploration in der Medizin.. 259–270. 1 indexed citations
17.
Scheuering, Michael, et al.. (2002). <title>Augmented reality based on fast deformable 2D-3D registration for image-guided surgery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4681. 436–445. 6 indexed citations
18.
Scheuering, Michael, et al.. (2001). Interactive Repositioning of Bone Fracture Segments. Vision Modeling and Visualization. 499–506. 5 indexed citations
19.
Scheuering, Michael, et al.. (2001). Intra-operative Augmented Reality mit magnetischer Navigation und multitexturbasiertem Volume Rendering in der minimal-invasiven Chirurgie. 83–91. 1 indexed citations
20.
Rezk‐Salama, Christof, Michael Scheuering, Grzegorz Soza, & G. Greiner. (2001). Fast volumetric deformation on general purpose hardware. 17–24. 46 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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