Mitko Veta
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 32
- Advanced MRI Techniques and Applications 9
- Corneal surgery and disorders 7
-
- AI in cancer detection 43
- Co-authors
- Josien P. W. Pluim (37 shared papers)Paul J van Diest (18 shared papers)Max A. Viergever (4 shared papers)André Huisman (3 shared papers)Maxime W. Lafarge (10 shared papers)Koen A. J. Eppenhof (6 shared papers)Robert Kornegoor (2 shared papers)Nikolas Stathonikos (10 shared papers)
- Journals
- Medical Image Analysis (8 papers)PLoS ONE (7 papers)Scientific Reports (4 papers)IEEE Transactions on Biomedical Engineering (3 papers)European Journal of Cancer (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mitko Veta
87 papers receiving 6.2k citations
Mitko Veta's Hit Papers
Peers
Comparison fields: 5 of 161
- Health Informatics 394
- Radiology, Nuclear Medicine and Imaging 2.7k
- Biophysics 683
- Artificial Intelligence 3.8k
- Computer Vision and Pattern Recognition 2.1k
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer Hit paper breakdown → | 2017 | 2461 |
| 2 | Breast Cancer Histopathology Image Analysis: A Review Hit paper breakdown → | 2014 | 564 |
| 3 | Assessment of algorithms for mitosis detection in breast cancer histopathology images Hit paper breakdown → | 2014 | 365 |
| 4 | A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Hit paper breakdown → | 2020 | 356 |
| 5 | 2013 | 318 | |
| 6 | 2019 | 235 | |
| 7 | 2020 | 140 | |
| 8 | 2013 | 134 | |
| 9 | 2022 | 107 | |
| 10 | 2016 | 91 | |
| 11 | 2017 | 90 | |
| 12 | 2018 | 83 | |
| 13 | 2022 | 77 | |
| 14 | 2021 | 74 | |
| 15 | 2021 | 73 | |
| 16 | 2012 | 70 | |
| 17 | 2011 | 69 | |
| 18 | 2019 | 63 | |
| 19 | 2018 | 58 | |
| 20 | 2019 | 56 |
About Mitko Veta
Mitko Veta is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition and Ophthalmology, having authored 92 papers that have together received 6.4k indexed citations. Recurring topics across this work include AI in cancer detection (43 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), Digital Imaging for Blood Diseases (10 papers), Cell Image Analysis Techniques (10 papers), Advanced MRI Techniques and Applications (9 papers), Glaucoma and retinal disorders (7 papers), Corneal surgery and disorders (7 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Health Informatics (394 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Biophysics (683 citations), Artificial Intelligence (3.8k citations) and Computer Vision and Pattern Recognition (2.1k citations). Mitko Veta has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Josien P. W. Pluim, Paul J van Diest, Max A. Viergever, André Huisman, Maxime W. Lafarge, Koen A. J. Eppenhof, Robert Kornegoor, Nikolas Stathonikos, Pim Moeskops and Coen de Vente. Their work appears in journals such as Medical Image Analysis, PLoS ONE, Scientific Reports, IEEE Transactions on Biomedical Engineering and European Journal of Cancer.
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.