Jelena Božek
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Mislav GrgićMario MuštraJia‐Hong GaoHesheng LiuXi‐Nian ZuoHao-Ming DongMark JenkinsonDijana Tralić
- Topics
- AI in cancer detection (10 papers)Functional Brain Connectivity Studies (7 papers)Digital Radiography and Breast Imaging (6 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- CroatiaUnited KingdomUnited States
In The Last Decade
Jelena Božek
23 papers receiving 235 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 100
- Cognitive Neuroscience 85
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 72
- Pulmonary and Respiratory Medicine 24
Countries citing papers authored by Jelena Božek
This map shows the geographic impact of Jelena Božek'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 Jelena Božek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jelena Božek more than expected).
Fields of papers citing papers by Jelena Božek
This network shows the impact of papers produced by Jelena Božek. 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 Jelena Božek. The network helps show where Jelena Božek may publish in the future.
Co-authorship network of co-authors of Jelena Božek
This figure shows the co-authorship network connecting the top 25 collaborators of Jelena Božek. A scholar is included among the top collaborators of Jelena Božek 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 Jelena Božek. Jelena Božek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 45 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | Application of Gabor filters for detection of dense tissue in mammograms | 3 |
| 15 | Shape analysis and classification of masses in mammographic images using neural networks | 15 |
| 16 | Validation of rigid registration of mammographic images | 6 |
| 17 | Comparative analysis of interpolation methods for bilateral asymmetry | 4 |
| 18 | A survey of mammographic image processing algorithms for bilateral asymmetry detection | 5 |
| 19 | Nipple detection in craniocaudal digital mammograms | 4 |
| 20 | Computer-aided detection and diagnosis of breast abnormalities in digital mammography | 7 |
About Jelena Božek
Jelena Božek is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 246 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Functional Brain Connectivity Studies (7 papers) and Digital Radiography and Breast Imaging (6 papers). The work is most often cited by research in Cognitive Neuroscience (85 citations), Radiology, Nuclear Medicine and Imaging (100 citations) and Computer Vision and Pattern Recognition (72 citations). Jelena Božek has collaborated with scholars based in Croatia, United Kingdom and United States. Frequent co-authors include Mislav Grgić, Mario Muštra, Jia‐Hong Gao, Hesheng Liu, Xi‐Nian Zuo, Hao-Ming Dong, Mark Jenkinson, Dijana Tralić, Ivan Kesedžić and Sonja Grgić. Their work appears in journals such as NeuroImage, Cerebral Cortex and Human Brain Mapping.
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.