F. Pernuš
Impact in
-
- Medical Image Segmentation Techniques
-
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Image Segmentation Techniques 16
- Image and Object Detection Techniques 5
-
- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- B. Likar (16 shared papers)Dejan Tomaževič (6 shared papers)Primož Markelj (5 shared papers)Max A. Viergever (1 shared paper)T. Slivnik (1 shared paper)Ida Eržen (2 shared papers)Tomaž Vrtovec (4 shared papers)Bulat Ibragimov (3 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (5 papers)Dentomaxillofacial Radiology (2 papers)Medical Physics (2 papers)Physics in Medicine and Biology (2 papers)Medical Image Analysis (2 papers)
- Partner nations
- SloveniaAustriaUnited States
In The Last Decade
F. Pernuš
31 papers receiving 1.6k citations
F. Pernuš's Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 889
- Radiology, Nuclear Medicine and Imaging 536
- Radiation 122
- Biomedical Engineering 476
- Biophysics 56
Countries citing papers authored by F. Pernuš
This map shows the geographic impact of F. 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 F. Pernuš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Pernuš more than expected).
Fields of papers citing papers by F. Pernuš
This network shows the impact of papers produced by F. 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 F. Pernuš. The network helps show where F. Pernuš may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Pernuš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of 3D/2D registration methods for image-guided interventions Hit paper breakdown → | 2010 | 588 |
| 2 | 2001 | 231 | |
| 3 | 2001 | 171 | |
| 4 | 2003 | 143 | |
| 5 | Histochemical and morphometric characteristics of the normal human vastus medialis longus and vastus medialis obliquus muscles. | 1995 | 83 |
| 6 | 2002 | 75 | |
| 7 | 2006 | 74 | |
| 8 | 2005 | 66 | |
| 9 | 2012 | 50 | |
| 10 | 2011 | 39 | |
| 11 | 2012 | 22 | |
| 12 | 2007 | 17 | |
| 13 | 2002 | 16 | |
| 14 | 2012 | 12 | |
| 15 | 1996 | 11 | |
| 16 | 1988 | 9 | |
| 17 | 2010 | 8 | |
| 18 | Muscle fibre types in the human vastus lateralis muscles: do symmetrical sites differ in their composition? | 1990 | 8 |
| 19 | 2002 | 7 | |
| 20 | 2002 | 7 |
About F. Pernuš
F. Pernuš is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation and Computational Mechanics, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Medical Imaging Techniques and Applications (8 papers), Advanced Radiotherapy Techniques (7 papers), Medical Imaging and Analysis (7 papers), Image and Object Detection Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Dental Radiography and Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (889 citations), Radiology, Nuclear Medicine and Imaging (536 citations), Radiation (122 citations), Biomedical Engineering (476 citations) and Biophysics (56 citations). F. Pernuš has collaborated with scholars based in Slovenia, Austria and United States. Frequent co-authors include B. Likar, Dejan Tomaževič, Primož Markelj, Max A. Viergever, T. Slivnik, Ida Eržen, Tomaž Vrtovec, Bulat Ibragimov, Žiga Špiclin and Aleš Fidler. Their work appears in journals such as IEEE Transactions on Medical Imaging, Dentomaxillofacial Radiology, Medical Physics, Physics in Medicine and Biology and Medical Image Analysis.
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.