Michael Scheuering

1.3k citations

24 papers · 898 indexed · h-index 15

Impact in

Computer Vision and Pattern Recognition top 2%
- Medical Image Segmentation Techniques
Radiology, Nuclear Medicine and Imaging top 5%
- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications

Papers in ⓘ

Computer Graphics and Computer-Aided Design 5
- Computer Graphics and Visualization Techniques 4
Computer Vision and Pattern Recognition 16
- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 3

Co-authors: Dorin Comaniciu (6 shared papers)Bogdan Georgescu (5 shared papers)Yefeng Zheng (4 shared papers)Adrian Barbu (3 shared papers)Dominik Fritz (8 shared papers)Daniel Rinck (6 shared papers)Christof Rezk‐Salama (4 shared papers)Grzegorz Soza (1 shared paper)
Journals: International journal of cardiac imaging (2 papers)Investigative Radiology (1 paper)IEEE Transactions on Medical Imaging (1 paper)The American Journal of Cardiology (1 paper)European Radiology (1 paper)
Partner nations: Germany United States South Korea

In The Last Decade

Michael Scheuering

23 papers receiving 866 citations

Peers

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-authors

The 25 scholars most cited alongside Michael Scheuering, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Scheuering Line = papers co-authored together Michael Scheuering links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	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 ·Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu	2008	372
2	Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu	2007	85
3	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 ·Monique Tröbs, Stephan Achenbach, Jens Röther, Thomas Redel, Michael Scheuering, David Winneberger, K. Klingenbeck, Lucian Itu, Tiziano Passerini, Ali Kamen, Puneet Sharma, Dorin Comaniciu, Christian Schlundt	2015	65
4	Dual-Source Computed Tomography Investigative Radiology ·Anja Reimann, Daniel Rinck, Ayser Birinci-Aydogan, Michael Scheuering, Christof Burgstahler, Stephen Schroeder, Harald Brodoefel, Ilias Tsiflikas, Tina Herberts, Thomas Flohr, Claus D. Claussen, Andreas F. Kopp, Martin Heuschmid	2007	54
5	Fast volumetric deformation on general purpose hardware Christof Rezk‐Salama, Michael Scheuering, Grzegorz Soza, G. Greiner	2001	46
6	One-click coronary tree segmentation in CT angiographic images International Congress Series ·Anja Hennemuth, Tobias Boskamp, Dominik Fritz, Caroline Kühnel, S. Bock, Daniel Rinck, Michael Scheuering, Heinz‐Otto Peitgen	2005	41
7	Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software European Radiology ·Ullrich Ebersberger, Roy Marcus, U. Joseph Schoepf, Gladys Lo, Yining Wang, Philipp Blanke, Lucas L. Geyer, J. Cranston Gray, Andrew D. McQuiston, Young Jun Cho, Michael Scheuering, Christian Canstein, Konstantin Nikolaou, Ellen Hoffmann, Fabian Bamberg	2013	32
8	Intraoperative augmented reality for minimally invasive liver interventions Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Michael Scheuering, Andrea Schenk, Armin Schneider, Bernhard Preim, Guenther Greiner	2003	29
9	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 ·Dominik Fritz, Daniel Rinck, Rüdiger Dillmann, Michael Scheuering	2006	24
10	Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT Lecture notes in computer science ·Razvan Ionasec, Bogdan Georgescu, Eva Gassner, Sebastian Vogt, Oliver Kutter, Michael Scheuering, Nassir Navab, Dorin Comaniciu	2008	22
11	Automatic segmentation of the left ventricle and computation of diagnostic parameters using regiongrowing and a statistical model Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Dominik Fritz, Daniel Rinck, Roland Unterhinninghofen, Ruediger Dillmann, Michael Scheuering	2005	21
12	Constrained marginal space learning for efficient 3D anatomical structure detection in medical images 2009 IEEE Conference on Computer Vision and Pattern Recognition ·Yefeng Zheng, Bogdan Georgescu, Haibin Ling, S. Kevin Zhou, Michael Scheuering, Dorin Comaniciu	2009	20
13	Multi-scale feature extraction for learning-based classification of coronary artery stenosis Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Matthias Teßmann, Fernando Vega-Higuera, Dominik Fritz, Michael Scheuering, Günther Greiner	2009	17
14	Perfusion weighted color maps for enhanced visualization of myocardial infarction by MSCT: preliminary experience International journal of cardiac imaging ·Andreas H. Mahnken, Stefan Lautenschläger, Dominik Fritz, Ralf Koos, Michael Scheuering	2008	16
15	Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography International journal of cardiac imaging ·Anja Reimann, Ilias Tsiflikas, Harald Brodoefel, Michael Scheuering, Daniel Rinck, Andreas F. Kopp, Claus D. Claussen, Martin Heuschmid	2008	15
16	Shape-based segmentation and visualization techniques for evaluation of atherosclerotic plaques in coronary artery disease Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Daniel Rinck, Sebastian Krüger, Anja Reimann, Michael Scheuering	2006	9
17	Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu	2008	8
18	<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 ·Michael Scheuering, Christof Rezk‐Salama, Helmut Barfufl, Armin Schneider, Guenther Greiner	2002	6
19	Interactive Repositioning of Bone Fracture Segments Vision Modeling and Visualization ·Michael Scheuering, Christof Rezk‐Salama, Christian Eckstein, Kai Hormann, Günther Greiner	2001	5
20	Learning-Based Detection of Stenotic Lesions in Coronary CT Data. Vision Modeling and Visualization ·Matthias Teßmann, Fernando Vega Higuera, Dominik Fritz, Michael Scheuering, Günther Greiner	2008	3

About Michael Scheuering

Michael Scheuering is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Biomedical Engineering, having authored 24 papers that have together received 898 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (7 papers), Advanced X-ray and CT Imaging (4 papers), Medical Imaging and Analysis (4 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Radiology, Nuclear Medicine and Imaging (458 citations), Computer Graphics and Computer-Aided Design (50 citations), Cardiology and Cardiovascular Medicine (243 citations) and Biomedical Engineering (339 citations). Michael Scheuering has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, Adrian Barbu, Dominik Fritz, Daniel Rinck, Christof Rezk‐Salama, Grzegorz Soza, G. Greiner and Anja Reimann. Their work appears in journals such as International journal of cardiac imaging, Investigative Radiology, IEEE Transactions on Medical Imaging, The American Journal of Cardiology and European Radiology.

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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