Eugene Vorontsov
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 14
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- Domain Adaptation and Few-Shot Learning 2
- AI in cancer detection 2
- Neural Networks and Applications 1
- Co-authors
- Samuel Kadoury (15 shared papers)Christopher Pal (6 shared papers)Gabriel Chartrand (3 shared papers)Michal Drozdzal (3 shared papers)An Tang (6 shared papers)Simon Turcotte (2 shared papers)Phillip M. Cheng (1 shared paper)Lisa Di Jorio (2 shared papers)
- Journals
- Medical Image Analysis (4 papers)Nature Medicine (2 papers)Radiographics (1 paper)Radiology Artificial Intelligence (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Eugene Vorontsov
19 papers receiving 4.2k citations
Eugene Vorontsov's Hit Papers
Peers
Comparison fields: 5 of 133
- Health Informatics 492
- Computer Vision and Pattern Recognition 2.3k
- Radiology, Nuclear Medicine and Imaging 664
- Artificial Intelligence 974
- Neurology 150
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 | 912 |
| 2 | The Medical Segmentation Decathlon Hit paper breakdown → | 2022 | 888 |
| 3 | The Liver Tumor Segmentation Benchmark (LiTS) Hit paper breakdown → | 2022 | 797 |
| 4 | The Importance of Skip Connections in Biomedical Image Segmentation Hit paper breakdown → | 2016 | 784 |
| 5 | A foundation model for clinical-grade computational pathology and rare cancers detection Hit paper breakdown → | 2024 | 284 |
| 6 | 2017 | 194 | |
| 7 | 2018 | 117 | |
| 8 | 2019 | 111 | |
| 9 | 2019 | 35 | |
| 10 | 2014 | 28 | |
| 11 | 2015 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2016 | 19 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 11 | |
| 17 | Boosting segmentation with weak supervision from image-to-image translation. | 2019 | 7 |
| 18 | 2024 | 6 | |
| 19 | 2021 | 3 | |
| 20 | 2026 | 0 |
About Eugene Vorontsov
Eugene Vorontsov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 4.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Domain Adaptation and Few-Shot Learning (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (2 papers), Advanced Radiotherapy Techniques (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Health Informatics (492 citations), Computer Vision and Pattern Recognition (2.3k citations), Radiology, Nuclear Medicine and Imaging (664 citations), Artificial Intelligence (974 citations) and Neurology (150 citations). Eugene Vorontsov has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Samuel Kadoury, Christopher Pal, Gabriel Chartrand, Michal Drozdzal, An Tang, Simon Turcotte, Phillip M. Cheng, Lisa Di Jorio, Yoshua Bengio and Adriana Romero. Their work appears in journals such as Medical Image Analysis, Nature Medicine, Radiographics, Radiology Artificial Intelligence 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.