B. Likar

2.6k total citations · 2 hit papers
20 papers, 1.9k citations indexed

About

B. Likar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, B. Likar has authored 20 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Biomedical Engineering. Recurrent topics in B. Likar's work include Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers) and Medical Imaging and Analysis (6 papers). B. Likar is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers) and Medical Imaging and Analysis (6 papers). B. Likar collaborates with scholars based in Slovenia and Serbia. B. Likar's co-authors include F. Pernuš, Dejan Tomaževič, Franjo Pernuš, Primož Markelj, Max A. Viergever, T. Slivnik, Aleš Fidler, U Skalerič, Tomaž Vrtovec and Bulat Ibragimov and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Osteoporosis International and Medical Image Analysis.

In The Last Decade

B. Likar

20 papers receiving 1.8k citations

Hit Papers

A Review of Methods for Correction of Intensity Inhomogen... 2007 2026 2013 2019 2007 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Likar Slovenia 12 1.1k 781 487 190 150 20 1.9k
Aymeric Perchant France 12 1.1k 1.0× 859 1.1× 518 1.1× 132 0.7× 172 1.1× 21 2.1k
F. Pernuš Slovenia 13 813 0.7× 584 0.7× 511 1.0× 213 1.1× 160 1.1× 31 1.5k
Philipp G. Batchelor United Kingdom 3 872 0.8× 732 0.9× 363 0.7× 89 0.5× 175 1.2× 4 1.5k
Jingfan Fan China 19 833 0.8× 605 0.8× 365 0.7× 177 0.9× 111 0.7× 124 1.5k
Danni Ai China 19 776 0.7× 501 0.6× 392 0.8× 245 1.3× 125 0.8× 154 1.4k
Amir A. Amini United States 21 1.3k 1.2× 1.3k 1.7× 468 1.0× 132 0.7× 117 0.8× 128 2.6k
Christian Roux France 21 903 0.8× 720 0.9× 191 0.4× 138 0.7× 73 0.5× 118 1.7k
J.-P. Thirion France 8 1.2k 1.1× 1.1k 1.4× 433 0.9× 46 0.2× 153 1.0× 14 2.1k
Tim McInerney Canada 12 2.0k 1.8× 661 0.8× 421 0.9× 96 0.5× 177 1.2× 25 2.8k
Tina Kapur United States 25 734 0.7× 947 1.2× 586 1.2× 323 1.7× 65 0.4× 77 2.2k

Countries citing papers authored by B. Likar

Since Specialization
Citations

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

Fields of papers citing papers by B. Likar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Likar

This figure shows the co-authorship network connecting the top 25 collaborators of B. Likar. A scholar is included among the top collaborators of B. Likar 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 B. Likar. B. Likar 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.
Vrtovec, Tomaž, B. Likar, & F. Pernuš. (2013). Manual and computerized measurement of coronal vertebral inclination on MRI images: A pilot study. Clinical Radiology. 68(8). 807–814. 2 indexed citations
2.
Štern, Darko, et al.. (2012). Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D. Osteoporosis International. 24(4). 1357–1368. 10 indexed citations
3.
Ibragimov, Bulat, B. Likar, F. Pernuš, & Tomaž Vrtovec. (2012). A Game-Theoretic Framework for Landmark-Based Image Segmentation. IEEE Transactions on Medical Imaging. 31(9). 1761–1776. 41 indexed citations
4.
Markelj, Primož, Dejan Tomaževič, B. Likar, & F. Pernuš. (2010). A review of 3D/2D registration methods for image-guided interventions. Medical Image Analysis. 16(3). 642–661. 520 indexed citations breakdown →
5.
Fidler, Aleš, U Skalerič, & B. Likar. (2007). The effect of image content on detail preservation and file size reduction in lossy compression. Dentomaxillofacial Radiology. 36(7). 387–392. 13 indexed citations
6.
Likar, B., et al.. (2007). A protocol for evaluation of similarity measures for non-rigid registration. Medical Image Analysis. 12(1). 42–54. 13 indexed citations
7.
Pernuš, Franjo, et al.. (2007). A Review of Methods for Correction of Intensity Inhomogeneity in MRI. IEEE Transactions on Medical Imaging. 26(3). 405–421. 611 indexed citations breakdown →
8.
Likar, B., et al.. (2006). Biomedical image registration : Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3. 1 indexed citations
9.
Fidler, Aleš, B. Likar, & U Skalerič. (2006). Lossy JPEG compression: easy to compress, hard to compare. Dentomaxillofacial Radiology. 35(2). 67–73. 22 indexed citations
10.
Vrtovec, Tomaž, B. Likar, & F. Pernuš. (2005). Spine-based coordinate system. PubMed. 8. 5120–5123. 3 indexed citations
11.
Tomaževič, Dejan, B. Likar, & F. Pernuš. (2005). 3-D/2-D registration by integrating 2-D information in 3-D. IEEE Transactions on Medical Imaging. 25(1). 17–27. 57 indexed citations
12.
Likar, B., et al.. (2005). Simultaneous Correction of Intensity Inhomogeneity in Multi-Channel MR Images. PubMed. 5. 4290–4293. 4 indexed citations
13.
Tomaževič, Dejan, B. Likar, T. Slivnik, & F. Pernuš. (2003). 3-D/2-D registration of CT and MR to X-ray images. IEEE Transactions on Medical Imaging. 22(11). 1407–1416. 123 indexed citations
14.
Fidler, Aleš, B. Likar, F. Pernuš, & U Skalerič. (2002). Impact of JPEG lossy image compression on quantitative digital subtraction radiography.. Dentomaxillofacial Radiology. 31(2). 106–112. 7 indexed citations
15.
Fidler, Aleš, B. Likar, F. Pernuš, & U Skalerič. (2002). Comparative evaluation of JPEG and JPEG2000 compression in quantitative digital subtraction radiography.. Dentomaxillofacial Radiology. 31(6). 379–384. 16 indexed citations
16.
Tomaževič, Dejan, B. Likar, & F. Pernuš. (2002). A comparison of retrospective shading correction techniques. 3. 564–567. 6 indexed citations
17.
Tomaževič, Dejan, B. Likar, & F. Pernuš. (2002). Comparative evaluation of retrospective shading correction methods. Journal of Microscopy. 208(3). 212–223. 71 indexed citations
18.
Likar, B., et al.. (2002). Shading correction and segmentation of color images. 9. 345–350. 2 indexed citations
19.
Likar, B., Max A. Viergever, & F. Pernuš. (2001). Retrospective correction of MR intensity inhomogeneity by information minimization. IEEE Transactions on Medical Imaging. 20(12). 1398–1410. 208 indexed citations
20.
Likar, B. & F. Pernuš. (2001). A hierarchical approach to elastic registration based on mutual information. Image and Vision Computing. 19(1-2). 33–44. 145 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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