Juergen Weese

814 total citations
38 papers, 443 citations indexed

About

Juergen Weese is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Juergen Weese has authored 38 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Juergen Weese's work include Medical Image Segmentation Techniques (15 papers), Cardiac Valve Diseases and Treatments (8 papers) and Advanced MRI Techniques and Applications (6 papers). Juergen Weese is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Cardiac Valve Diseases and Treatments (8 papers) and Advanced MRI Techniques and Applications (6 papers). Juergen Weese collaborates with scholars based in Germany, Finland and Netherlands. Juergen Weese's co-authors include Graeme Penney, David J. Hawkes, David Hill, Philipp G. Batchelor, Jörg Peters, Thorsten M. Buzug, Roland Goecke, Heidrun Schumann, Paul Desmedt and David J. Hawkes and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Biomechanics and Medical Physics.

In The Last Decade

Juergen Weese

36 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juergen Weese Germany 11 219 171 127 98 73 38 443
Florian Link Germany 7 159 0.7× 136 0.8× 89 0.7× 44 0.4× 94 1.3× 9 422
Christopher Rohkohl Germany 14 381 1.7× 59 0.3× 266 2.1× 54 0.6× 91 1.2× 32 522
A. Kleven Norway 5 178 0.8× 70 0.4× 132 1.0× 35 0.4× 27 0.4× 7 362
Coert Metz Netherlands 15 451 2.1× 370 2.2× 187 1.5× 158 1.6× 149 2.0× 32 752
Jon Bang Norway 13 212 1.0× 105 0.6× 189 1.5× 74 0.8× 86 1.2× 23 510
Mark E. Olszewski United States 15 515 2.4× 207 1.2× 303 2.4× 266 2.7× 172 2.4× 36 870
Olivier Ecabert Germany 12 323 1.5× 358 2.1× 247 1.9× 240 2.4× 89 1.2× 24 725
Hans Frimmel Sweden 13 183 0.8× 128 0.7× 38 0.3× 91 0.9× 121 1.7× 31 544
Aage Grønningsaeter Norway 9 378 1.7× 133 0.8× 251 2.0× 18 0.2× 54 0.7× 14 750
Sara El Hadji Italy 4 262 1.2× 199 1.2× 82 0.6× 27 0.3× 97 1.3× 4 421

Countries citing papers authored by Juergen Weese

Since Specialization
Citations

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

Fields of papers citing papers by Juergen Weese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juergen Weese

This figure shows the co-authorship network connecting the top 25 collaborators of Juergen Weese. A scholar is included among the top collaborators of Juergen Weese 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 Juergen Weese. Juergen Weese 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.
Lorenz, Cristian, et al.. (2024). Effective deep-learning brain MRI super resolution using simulated training data. Computers in Biology and Medicine. 183. 109301–109301. 3 indexed citations
2.
Arasteh, Soroosh Tayebi, Danielle F. Pace, Polina Golland, et al.. (2023). Automated segmentation of 3D cine cardiovascular magnetic resonance imaging. Frontiers in Cardiovascular Medicine. 10. 1167500–1167500. 6 indexed citations
3.
Rouvière, Olivier, Paul C. Moldovan, Sylvain Gouttard, et al.. (2022). Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation. European Radiology. 32(5). 3248–3259. 14 indexed citations
4.
Franz, Juliane K., Marcus Kelm, Jörg Kempfert, et al.. (2021). An orifice shape-based reduced order model of patient-specific mitral valve regurgitation. Engineering Applications of Computational Fluid Mechanics. 15(1). 1868–1884. 6 indexed citations
5.
Weese, Juergen, et al.. (2020). Towards improving the accuracy of aortic transvalvular pressure gradients: rethinking Bernoulli. Medical & Biological Engineering & Computing. 58(8). 1667–1679. 10 indexed citations
6.
Kasztelnik, Marek, et al.. (2019). Estimation of valvular resistance of segmented aortic valves using computational fluid dynamics. Journal of Biomechanics. 94. 49–58. 14 indexed citations
7.
Lessick, Jonathan, Oliver Klass, Matthew Walker, et al.. (2015). Automatic Determination of Differential Coronary Artery Motion Minima for Cardiac Computed Tomography Optimal Phase Selection. Academic Radiology. 22(6). 697–703. 1 indexed citations
8.
Zagorchev, Lyubomir, Carsten Meyer, Thomas Stehlé, et al.. (2015). Differences in Regional Brain Volumes Two Months and One Year after Mild Traumatic Brain Injury. Journal of Neurotrauma. 33(1). 29–34. 39 indexed citations
9.
Tsang, Wendy, Ivan S. Salgo, Scott Settlemier, et al.. (2013). FULLY AUTOMATED QUANTIFICATION OF LEFT VENTRICULAR AND LEFT ATRIAL VOLUMES FROM TRANSTHORACIC 3D ECHOCARDIOGRAPHY: A VALIDATION STUDY. Journal of the American College of Cardiology. 61(10). E904–E904. 6 indexed citations
10.
Korosoglou, Grigorios, Gitsios Gitsioudis, Juergen Weese, et al.. (2012). Objective quantification of aortic valvular structures by cardiac computed tomography angiography in patients considered for transcatheter aortic valve implantation. Catheterization and Cardiovascular Interventions. 81(1). 148–159. 10 indexed citations
11.
Kneser, Reinhard, et al.. (2010). Patient Specific Models for Planning and Guidance of Minimally Invasive Aortic Valve Implantation. Lecture notes in computer science. 13(Pt 1). 526–533. 30 indexed citations
12.
Peters, Jörg, Jonathan Lessick, Reinhard Kneser, et al.. (2010). Accurate Segmentation of the Left Ventricle in Computed Tomography Images for Local Wall Thickness Assessment. Lecture notes in computer science. 13(Pt 1). 400–408. 4 indexed citations
13.
Bredno, Joerg, et al.. (2008). Model-based blood flow quantification from rotational angiography. Medical Image Analysis. 12(5). 586–602. 25 indexed citations
14.
Bredno, Joerg, et al.. (2008). Using flow information to support 3D vessel reconstruction from rotational angiography. Medical Physics. 35(7Part1). 3302–3316. 8 indexed citations
15.
Kiefer, Gundolf, et al.. (2006). Fast Maximum Intensity Projections of Large Medical Data Sets by Exploiting Hierarchical Memory Architectures. IEEE Transactions on Information Technology in Biomedicine. 10(2). 385–394. 8 indexed citations
16.
Bredno, Joerg, et al.. (2006). SU-CC-ValA-04: Using Flow Information to Support 3D Vessel Reconstruction From Rotational Angiography. Medical Physics. 33(6Part1). 1983–1983. 3 indexed citations
17.
Penney, Graeme, John A. Little, Juergen Weese, David Hill, & David J. Hawkes. (2002). Deforming a preoperative volume to represent the intraoperative scene. Computer Aided Surgery. 7(2). 63–73. 4 indexed citations
18.
Penney, Graeme, Philipp G. Batchelor, David Hill, David J. Hawkes, & Juergen Weese. (2001). Validation of a two‐ to three‐dimensional registration algorithm for aligning preoperative CT images and intraoperative fluoroscopy images. Medical Physics. 28(6). 1024–1032. 93 indexed citations
19.
Netsch, Thomas, et al.. (2000). <title>Grey-value-based 3D registration of functional MRI time-series: comparison of interpolation order and similarity measure</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3979. 1148–1159. 8 indexed citations
20.
Weese, Juergen, et al.. (1997). 2D/3D registration of pre-operative CT images and intra-operative X-ray projections for image guided surgery. 5 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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