Mitko Veta
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Health Informatics top 2%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 25
- Advanced MRI Techniques and Applications 6
-
- AI in cancer detection 34
- Co-authors
- Josien P. W. Pluim (32 shared papers)P. J. van Diest (20 shared papers)Max A. Viergever (5 shared papers)André Huisman (3 shared papers)Robert Kornegoor (2 shared papers)Nikolas Stathonikos (12 shared papers)Maxime W. Lafarge (7 shared papers)Koen A. J. Eppenhof (5 shared papers)
- Journals
- PLoS ONE (7 papers)IEEE Transactions on Biomedical Engineering (4 papers)Journal of Pathology Informatics (3 papers)Cochrane Database of Systematic Reviews (2 papers)Scientific Reports (2 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mitko Veta
69 papers receiving 2.4k citations
Mitko Veta's Hit Papers
Peers
Comparison fields: 5 of 126
- Biophysics 339
- Health Informatics 71
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 909
Countries citing papers authored by Mitko Veta
This map shows the geographic impact of Mitko Veta'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 Mitko Veta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitko Veta more than expected).
Fields of papers citing papers by Mitko Veta
This network shows the impact of papers produced by Mitko Veta. 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 Mitko Veta. The network helps show where Mitko Veta may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitko Veta, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast Cancer Histopathology Image Analysis: A Review Hit paper breakdown → | 2014 | 556 |
| 2 | 2013 | 309 | |
| 3 | 2020 | 134 | |
| 4 | 2013 | 132 | |
| 5 | 2017 | 84 | |
| 6 | 2016 | 81 | |
| 7 | 2011 | 69 | |
| 8 | 2021 | 68 | |
| 9 | 2012 | 68 | |
| 10 | 2022 | 63 | |
| 11 | 2019 | 61 | |
| 12 | 2018 | 55 | |
| 13 | 2019 | 55 | |
| 14 | 2022 | 51 | |
| 15 | 2019 | 47 | |
| 16 | 2013 | 43 | |
| 17 | 2019 | 37 | |
| 18 | 2020 | 36 | |
| 19 | 2019 | 31 | |
| 20 | 2021 | 28 |
About Mitko Veta
Mitko Veta is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology and Biophysics, having authored 71 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Cell Image Analysis Techniques (10 papers), Digital Imaging for Blood Diseases (6 papers), Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Biophysics (339 citations), Health Informatics (71 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (909 citations). Mitko Veta has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Josien P. W. Pluim, P. J. van Diest, Max A. Viergever, André Huisman, Robert Kornegoor, Nikolas Stathonikos, Maxime W. Lafarge, Koen A. J. Eppenhof, Pim Moeskops and Coen de Vente. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering, Journal of Pathology Informatics, Cochrane Database of Systematic Reviews and Scientific Reports.
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.