Rudi Deklerck

1.3k total citations
54 papers, 946 citations indexed

About

Rudi Deklerck is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Rudi Deklerck has authored 54 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Rudi Deklerck's work include Medical Image Segmentation Techniques (12 papers), Orthopaedic implants and arthroplasty (7 papers) and Image Retrieval and Classification Techniques (6 papers). Rudi Deklerck is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Orthopaedic implants and arthroplasty (7 papers) and Image Retrieval and Classification Techniques (6 papers). Rudi Deklerck collaborates with scholars based in Belgium, Netherlands and China. Rudi Deklerck's co-authors include Bart Jansen, Jan Cornelis, Michel Bister, Johan De Mey, Maxine Tan, Edgard Nyssen, Nico Buls, Yanfeng Shang, Inneke Willekens and Xin Yang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Rudi Deklerck

51 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rudi Deklerck Belgium 16 401 384 232 214 210 54 946
Eranga Ukwatta Canada 19 410 1.0× 540 1.4× 271 1.2× 405 1.9× 126 0.6× 91 1.2k
Binjie Qin China 14 226 0.6× 351 0.9× 228 1.0× 104 0.5× 158 0.8× 37 759
Olof Enqvist Sweden 21 425 1.1× 453 1.2× 170 0.7× 239 1.1× 113 0.5× 62 1.1k
Jixiang Guo China 17 258 0.6× 534 1.4× 164 0.7× 242 1.1× 235 1.1× 72 999
Ari Seff United States 9 294 0.7× 588 1.5× 197 0.8× 192 0.9× 406 1.9× 10 1.0k
Brent Foster United States 13 265 0.7× 671 1.7× 169 0.7× 272 1.3× 125 0.6× 30 1.0k
Julien Abinahed Qatar 19 356 0.9× 257 0.7× 303 1.3× 85 0.4× 156 0.7× 51 967
Zhihao Wu China 9 341 0.9× 429 1.1× 185 0.8× 75 0.4× 343 1.6× 16 1.0k
Shih‐Chung B. Lo United States 14 309 0.8× 497 1.3× 135 0.6× 244 1.1× 511 2.4× 73 961
Guy Nir Canada 14 177 0.4× 501 1.3× 253 1.1× 307 1.4× 438 2.1× 26 966

Countries citing papers authored by Rudi Deklerck

Since Specialization
Citations

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

Fields of papers citing papers by Rudi Deklerck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudi Deklerck

This figure shows the co-authorship network connecting the top 25 collaborators of Rudi Deklerck. A scholar is included among the top collaborators of Rudi Deklerck 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 Rudi Deklerck. Rudi Deklerck 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.
2.
Jansen, Bart, et al.. (2015). An approach for combining multiple descriptors for image classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9445. 94450Y–94450Y.
3.
Willekens, Inneke, Elke Van de Casteele, Nico Buls, et al.. (2014). High-resolution 3D micro-CT imaging of breast microcalcifications: a preliminary analysis. BMC Cancer. 14(1). 9–9. 38 indexed citations
4.
Tan, Maxine, Rudi Deklerck, Jan Cornelis, & Bart Jansen. (2013). Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules. Artificial Intelligence in Medicine. 59(3). 157–167. 24 indexed citations
5.
Tan, Maxine, Rudi Deklerck, Bart Jansen, & Jan Cornelis. (2012). Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images. 539–546. 5 indexed citations
6.
Shang, Yanfeng, et al.. (2010). Liver segmentation by an active contour model with embedded Gaussian mixture model based classifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7723. 772313–772313. 9 indexed citations
7.
Willekens, Inneke, Nico Buls, Tony Lahoutte, et al.. (2010). Evaluation of the radiation dose in micro‐CT with optimization of the scan protocol. Contrast Media & Molecular Imaging. 5(4). 201–207. 69 indexed citations
8.
Scheerlinck, Thierry, Johan De Mey, & Rudi Deklerck. (2009). The cement mantle of femoral hip implants is more influenced by stem-broach sizing than by shape: an in vitro CT analysis of straight Charnley-Kerboul and anatomic Lubinus SPII stems. Archives of Orthopaedic and Trauma Surgery. 129(11). 1473–1481. 1 indexed citations
9.
Jansen, Bart & Rudi Deklerck. (2008). Semi-automatic calibration of 3D camera images — Monitoring activities made easy. 28–31. 4 indexed citations
10.
Deklerck, Rudi, et al.. (2008). Markov random field-based clustering applied to the segmentation of masses in digital mammograms. Computerized Medical Imaging and Graphics. 32(6). 502–512. 21 indexed citations
11.
Shang, Yanfeng, Xin Yang, Lei Zhu, Rudi Deklerck, & Edgard Nyssen. (2008). Region competition based active contour for medical object extraction. Computerized Medical Imaging and Graphics. 32(2). 109–117. 26 indexed citations
12.
Willekens, Inneke, Tony Lahoutte, Nico Buls, et al.. (2008). Time-Course of Contrast Enhancement in Spleen and Liver with Exia 160, Fenestra LC, and VC. Molecular Imaging and Biology. 11(2). 128–135. 51 indexed citations
13.
Cristea, Paul Dan, et al.. (2007). Signal Representation and Processing of Nucleotide Sequences. VUBIR (Vrije Universiteit Brussel). 1214–1217. 1 indexed citations
14.
Bruylants, Tim, et al.. (2007). An optimized 3D context model for JPEG2000 Part 10. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6512. 65124K–65124K. 2 indexed citations
15.
Cristea, Paul Dan, et al.. (2007). Signal Representation and Processing of Nucleotide Sequences. 6447. 1214–1219. 12 indexed citations
16.
Jansen, Bart & Rudi Deklerck. (2006). Home monitoring of elderly people with 3D camera technology. VUBIR (Vrije Universiteit Brussel). 5 indexed citations
17.
Scheerlinck, Thierry, Johan De Mey, Rudi Deklerck, & Philip C. Noble. (2005). CT analysis of defects of the cement mantle and alignment of the stem. Journal of Bone and Joint Surgery - British Volume. 88-B(1). 19–25. 25 indexed citations
18.
Scheerlinck, Thierry, Johan De Mey, & Rudi Deklerck. (2004). Development and Validation of a CT-scan based Tool to Analyse the Cement Mantle of Femoral Hip Implants. Hip International. 1 indexed citations
19.
Deklerck, Rudi, et al.. (1997). Improving precise interactive delineation of 3D structures in medical images. VUBIR (Vrije Universiteit Brussel). 1 indexed citations
20.
Li, Hongyi, et al.. (1995). Object recognition in brain CT-scans: knowledge-based fusion of data from multiple feature extractors. IEEE Transactions on Medical Imaging. 14(2). 212–229. 50 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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