Eugene Vorontsov
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- AI in cancer detection 6
- Neural Networks and Applications 2
-
- Advanced Neural Network Applications 6
- Medical Image Segmentation Techniques 4
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Samuel Kadoury (15 shared papers)Michal Drozdzal (3 shared papers)Gabriel Chartrand (3 shared papers)Chris Pal (3 shared papers)An Tang (5 shared papers)Christopher Pal (3 shared papers)Simon Turcotte (2 shared papers)Phillip M. Cheng (1 shared paper)
- Journals
- Medical Image Analysis (3 papers)Radiology Artificial Intelligence (1 paper)Physics in Medicine and Biology (1 paper)Scientific Reports (1 paper)Journal of Applied Clinical Medical Physics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Eugene Vorontsov
16 papers receiving 2.0k citations
Eugene Vorontsov's Hit Papers
Peers
Comparison fields: 5 of 147
- Health Informatics 177
- Radiology, Nuclear Medicine and Imaging 875
- Computer Vision and Pattern Recognition 574
- Neurology 176
- Artificial Intelligence 541
Countries citing papers authored by Eugene Vorontsov
This map shows the geographic impact of Eugene Vorontsov'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 Eugene Vorontsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Vorontsov more than expected).
Fields of papers citing papers by Eugene Vorontsov
This network shows the impact of papers produced by Eugene Vorontsov. 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 Eugene Vorontsov. The network helps show where Eugene Vorontsov may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Vorontsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning: A Primer for Radiologists Hit paper breakdown → | 2017 | 866 |
| 2 | The Importance of Skip Connections in Biomedical Image Segmentation Hit paper breakdown → | 2016 | 735 |
| 3 | 2017 | 184 | |
| 4 | 2019 | 106 | |
| 5 | 2019 | 34 | |
| 6 | On orthogonality and learning recurrent networks with long term dependencies | 2017 | 29 |
| 7 | 2014 | 25 | |
| 8 | 2015 | 22 | |
| 9 | 2022 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 10 | |
| 14 | Boosting segmentation with weak supervision from image-to-image translation. | 2019 | 5 |
| 15 | 2024 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 0 |
About Eugene Vorontsov
Eugene Vorontsov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers), Advanced Neural Network Applications (6 papers), Medical Image Segmentation Techniques (4 papers), Medical Imaging and Analysis (4 papers), Brain Tumor Detection and Classification (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Health Informatics (177 citations), Radiology, Nuclear Medicine and Imaging (875 citations), Computer Vision and Pattern Recognition (574 citations), Neurology (176 citations) and Artificial Intelligence (541 citations). Eugene Vorontsov has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Samuel Kadoury, Michal Drozdzal, Gabriel Chartrand, Chris Pal, An Tang, Christopher Pal, Simon Turcotte, Phillip M. Cheng, Lisa Di Jorio and Yoshua Bengio. Their work appears in journals such as Medical Image Analysis, Radiology Artificial Intelligence, Physics in Medicine and Biology, Scientific Reports and Journal of Applied Clinical Medical Physics.
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.