Franjo Pernuš

5.6k total citations · 1 hit paper
183 papers, 3.8k citations indexed

About

Franjo Pernuš is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Franjo Pernuš has authored 183 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Biomedical Engineering, 65 papers in Computer Vision and Pattern Recognition and 65 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Franjo Pernuš's work include Medical Image Segmentation Techniques (43 papers), Medical Imaging and Analysis (42 papers) and Optical Imaging and Spectroscopy Techniques (32 papers). Franjo Pernuš is often cited by papers focused on Medical Image Segmentation Techniques (43 papers), Medical Imaging and Analysis (42 papers) and Optical Imaging and Spectroscopy Techniques (32 papers). Franjo Pernuš collaborates with scholars based in Slovenia, United States and Netherlands. Franjo Pernuš's co-authors include Boštjan Likar, Tomaž Vrtovec, B. Likar, Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Dejan Tomaževič, Bulat Ibragimov, Tim Jerman and Michiel M. A. Janssen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Franjo Pernuš

176 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Review of Methods for Correction of Intensity Inhomogeneity in MRI

2007 611 citations Franjo Pernuš et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Franjo Pernuš Slovenia	31	1.3k	1.3k	1.1k	820	471	183	3.8k
Boštjan Likar Slovenia	30	1.2k 0.9×	906 0.7×	791 0.7×	734 0.9×	430 0.9×	178	3.1k
Purang Abolmaesumi Canada	40	2.4k 1.8×	1.7k 1.3×	1.9k 1.7×	1.1k 1.4×	363 0.8×	313	5.6k
Robert Rohling Canada	35	2.7k 2.1×	1.1k 0.8×	2.1k 1.9×	1.2k 1.5×	335 0.7×	260	4.8k
Ichiro Sakuma Japan	31	1.5k 1.1×	664 0.5×	455 0.4×	914 1.1×	85 0.2×	299	3.6k
Punam K. Saha United States	41	886 0.7×	2.3k 1.8×	1.8k 1.6×	581 0.7×	182 0.4×	207	5.8k
Leo Joskowicz Israel	32	1.2k 0.9×	1.0k 0.8×	812 0.7×	1.2k 1.4×	123 0.3×	225	3.9k
Ender Konukoğlu Switzerland	33	734 0.6×	1.7k 1.3×	1.2k 1.1×	240 0.3×	116 0.2×	102	3.8k
Guoyan Zheng Switzerland	39	1.5k 1.1×	1.0k 0.8×	630 0.6×	3.1k 3.7×	315 0.7×	246	5.0k
Andrew H. Gee United Kingdom	40	1.5k 1.1×	1.3k 1.0×	1.7k 1.5×	786 1.0×	84 0.2×	124	4.2k
Gábor Fichtinger Canada	46	4.5k 3.4×	1.9k 1.4×	2.4k 2.2×	2.9k 3.6×	272 0.6×	415	8.0k

Countries citing papers authored by Franjo Pernuš

Since Specialization

Citations

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

Fields of papers citing papers by Franjo Pernuš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franjo Pernuš

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

All Works

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20 of 20 papers shown

Pernuš, Franjo, et al.. (2020). Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network. Biomedical Optics Express. 11(7). 3875–3875. 9 indexed citations

Ibragimov, Bulat, Lei Xing, Primož Strojan, et al.. (2018). Segmentation of parotid glands from registered CT and MR images. Physica Medica. 52. 33–41. 28 indexed citations

Pernuš, Franjo, et al.. (2017). Virtually increased acceptance angle for efficient estimation of spatially resolved reflectance in the subdiffusive regime: a Monte Carlo study. Biomedical Optics Express. 8(11). 4872–4872. 5 indexed citations

Likar, Boštjan, et al.. (2017). 3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms. International Journal of Computer Assisted Radiology and Surgery. 13(2). 193–202. 11 indexed citations

Pernuš, Franjo, et al.. (2016). Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database. Neuroinformatics. 14(4). 403–420. 22 indexed citations

Galimzianova, Alfiia, Franjo Pernuš, Boštjan Likar, & Žiga Špiclin. (2015). Stratified mixture modeling for segmentation of white-matter lesions in brain MR images. NeuroImage. 124(Pt A). 1031–1043. 16 indexed citations

Marolt, Matija, et al.. (2014). Fast segmentation, conversion and rendering of volumetric data using GPU. International Conference on Systems, Signals and Image Processing. 239–242. 2 indexed citations

Schlösser, Tom P. C., Michiel M. A. Janssen, Tomaž Vrtovec, et al.. (2014). Evolution of the ischio-iliac lordosis during natural growth and its relation with the pelvic incidence. European Spine Journal. 23(7). 1433–1441. 33 indexed citations

Katrašnik, Jaka, Franjo Pernuš, & Boštjan Likar. (2013). A method for characterizing illumination systems for hyperspectral imaging. Optics Express. 21(4). 4841–4841. 21 indexed citations

10.

Vrtovec, Tomaž, Boštjan Likar, & Franjo Pernuš. (2011). Manual and Computerized Measurement of Sagittal Vertebral Inclination in Computed Tomography Images. Spine. 36(13). E875–E881. 2 indexed citations

11.

Bürmen, Miran, Franjo Pernuš, & Boštjan Likar. (2011). Spectral Characterization of Near-Infrared Acousto-Optic Tunable Filter (AOTF) Hyperspectral Imaging Systems Using Standard Calibration Materials. Applied Spectroscopy. 65(4). 393–401. 12 indexed citations

12.

Štern, Darko, Boštjan Likar, Franjo Pernuš, & Tomaž Vrtovec. (2011). Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images. Physics in Medicine and Biology. 56(23). 7505–7522. 67 indexed citations

13.

Vrtovec, Tomaž, Franjo Pernuš, & Boštjan Likar. (2010). Determination of axial vertebral rotation in MR images: comparison of four manual and a computerized method. European Spine Journal. 19(5). 774–781. 8 indexed citations

14.

Špiclin, Žiga, Simon K. Warfield, Boštjan Likar, & Franjo Pernuš. (2008). Registration of MRI and EEG based on internal and external anatomical similarities. PubMed Central. 11. 762. 4 indexed citations

15.

Vrtovec, Tomaž, Boštjan Likar, & Franjo Pernuš. (2008). Quantitative analysis of spinal curvature in 3D: application to CT images of normal spine. Physics in Medicine and Biology. 53(7). 1895–1908. 21 indexed citations

16.

Špiclin, Žiga, et al.. (2007). Geometrical and Statistical Visual Inspection of Imprinted Tablets. Machine Vision and Applications. 412–415. 2 indexed citations

17.

Bohinc, Klemen, Veronika Kralj‐Iglič, Miha Fošnarič, et al.. (2006). Shape variation of bilayer membrane daughter vesicles induced by anisotropic membrane inclusions. Cellular & Molecular Biology Letters. 11(1). 90–101. 5 indexed citations

18.

Tomaževič, Dejan, Boštjan Likar, & Franjo Pernuš. (2004). “Gold standard” data for evaluation and comparison of 3D/2D registration methods. Computer Aided Surgery. 9(4). 137–144. 30 indexed citations

19.

Fidler, Aleš, Boštjan Likar, Franjo Pernuš, & U Skalerič. (2000). Influence of developer exhaustion on accuracy of quantitative digital subtraction radiography. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 90(2). 233–239. 8 indexed citations

20.

Likar, Boštjan & Franjo Pernuš. (1997). Evaluation of three contrast correction methods for digital subtraction in dental radiography: An in vitro study. Medical Physics. 24(2). 299–307. 6 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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