Andriy Myronenko
-
- Medical Image Segmentation Techniques 12
- Advanced Neural Network Applications 7
- Advanced Vision and Imaging 6
- Health Informatics top 1%
-
- Radiomics and Machine Learning in Medical Imaging 8
- Geology top 1%
- Neurology top 2%
-
- AI in cancer detection 4
-
- Medical Imaging and Analysis 4
-
- Robotics and Sensor-Based Localization 4
-
- Advanced Radiotherapy Techniques 3
- Co-authors
- Xubo SongDaguang XuHolger R. RothDong YangAli HatamizadehVishwesh NathYucheng TangBennett A. Landman
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Medical Physics (2 papers)Radiotherapy and Oncology (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Andriy Myronenko
31 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 2.4k
- Health Informatics 88
- Radiology, Nuclear Medicine and Imaging 1.3k
- Geology 284
- Neurology 416
Countries citing papers authored by Andriy Myronenko
This map shows the geographic impact of Andriy Myronenko'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 Andriy Myronenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andriy Myronenko more than expected).
Fields of papers citing papers by Andriy Myronenko
This network shows the impact of papers produced by Andriy Myronenko. 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 Andriy Myronenko. The network helps show where Andriy Myronenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andriy Myronenko, 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 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 64 | |
| 4 | 2023 | 0 | |
| 5 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown → | 2021 | 176 |
| 6 | Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown → | 2020 | 288 |
| 7 | 2020 | 1 | |
| 8 | Boundary Aware Networks for Medical Image Segmentation. | 2019 | 2 |
| 9 | 2018 | 5 | |
| 10 | Point Set Registration: Coherent Point Driftbreakdown → | 2010 | 1859 |
| 11 | 2010 | 36 | |
| 12 | 2010 | 242 | |
| 13 | 2009 | 1 | |
| 14 | 2009 | 40 | |
| 15 | 2009 | 3 | |
| 16 | 2007 | 28 | |
| 17 | 2007 | 2 | |
| 18 | 2007 | 169 | |
| 19 | Vision-only Navigation and Control of Unmanned Aerial Vehicles Using the Sigma-Point Kalman Filter | 2007 | 2 |
| 20 | 2006 | 8 |
About Andriy Myronenko
Andriy Myronenko is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 4.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (7 papers), Advanced Vision and Imaging (6 papers), AI in cancer detection (4 papers), Medical Imaging and Analysis (4 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Health Informatics (88 citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Andriy Myronenko has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Xubo Song, Daguang Xu, Holger R. Roth, Dong Yang, Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Bennett A. Landman, Xubo Song and Miguel Á. Carreira-Perpiñán. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, Radiotherapy and Oncology, Journal of Neurology and Circulation.
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.