Andriy Myronenko

9.5k total citations · 4 hit papers
33 papers, 4.5k citations indexed

About

Andriy Myronenko is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Andriy Myronenko has authored 33 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in Andriy Myronenko's work include Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Neural Network Applications (7 papers). Andriy Myronenko is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Neural Network Applications (7 papers). Andriy Myronenko collaborates with scholars based in United States, Netherlands and United Kingdom. Andriy Myronenko's 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 and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Andriy Myronenko

31 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Point Set Registration: Coherent Point Drift

2010 1.9k citations Andriy Myronenko, Xubo Song IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
UNETR: Transformers for 3D Medical Image Segmentation

2022 1.4k citations Ali Hatamizadeh, Yucheng Tang et al. profile →
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

2020 288 citations Ling Zhang, Xiaosong Wang et al. IEEE Transactions on Medical Imaging profile →
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

2021 176 citations Dong Yang, Ziyue Xu et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andriy Myronenko United States	14	2.4k	1.3k	911	908	715	33	4.5k
Aly A. Farag United States	30	3.4k 1.4×	1.0k 0.8×	554 0.6×	699 0.8×	535 0.7×	304	5.2k
Anthony Yezzi United States	39	4.9k 2.0×	1.2k 0.9×	576 0.6×	711 0.8×	637 0.9×	188	6.7k
Emanuele Trucco United Kingdom	42	4.2k 1.7×	2.4k 1.9×	1.2k 1.3×	547 0.6×	396 0.6×	241	7.9k
Ghassan Hamarneh Canada	39	2.7k 1.1×	1.9k 1.5×	229 0.3×	1.8k 2.0×	1.1k 1.5×	252	6.7k
Dimitris Metaxas United States	40	3.3k 1.4×	1.5k 1.2×	355 0.4×	1.4k 1.5×	906 1.3×	181	6.0k
Ruofeng Tong China	28	2.2k 0.9×	839 0.7×	342 0.4×	774 0.9×	404 0.6×	149	4.2k
Yizhou Yu China	51	6.2k 2.6×	1.5k 1.2×	314 0.3×	2.3k 2.5×	464 0.6×	221	9.5k
Nikos Paragios France	46	6.2k 2.6×	3.1k 2.5×	870 1.0×	1.4k 1.5×	1.3k 1.8×	198	10.5k
Xavier Lladó Spain	33	2.3k 1.0×	1.2k 0.9×	296 0.3×	976 1.1×	465 0.7×	130	4.1k
Dirk Vandermeulen Belgium	44	5.7k 2.4×	3.7k 2.9×	835 0.9×	1.0k 1.1×	1.5k 2.1×	200	11.0k

Countries citing papers authored by Andriy Myronenko

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andriy Myronenko

This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Myronenko. A scholar is included among the top collaborators of Andriy Myronenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andriy Myronenko. Andriy Myronenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Yufan, Yucheng Tang, Andriy Myronenko, et al.. (2025). VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. 20863–20873. 7 indexed citations

Jong, Brigit A. de, et al.. (2025). Cognitive awareness in people with multiple sclerosis before and after neuropsychological assessment. Journal of Neurology. 272(11). 748–748.

Hatamizadeh, Ali, Hongxu Yin, Pavlo Molchanov, et al.. (2023). Do Gradient Inversion Attacks Make Federated Learning Unsafe?. IEEE Transactions on Medical Imaging. 42(7). 2044–2056. 64 indexed citations

Myronenko, Andriy, et al.. (2023). Development of land relations in the context of local government reform. SHILAP Revista de lepidopterología. 1(78). 359–363.

Yang, Dong, Ziyue Xu, Wenqi Li, et al.. (2021). Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Analysis. 70. 101992–101992. 176 indexed citations breakdown →

Zhang, Ling, Xiaosong Wang, Dong Yang, et al.. (2020). Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Transactions on Medical Imaging. 39(7). 2531–2540. 288 indexed citations breakdown →

Zhu, Wentao, Andriy Myronenko, Ziyue Xu, et al.. (2020). NeurReg: Neural Registration and Its Application to Image Segmentation. 3606–3615. 19 indexed citations

Hatamizadeh, Ali, Demetri Terzopoulos, & Andriy Myronenko. (2019). Boundary Aware Networks for Medical Image Segmentation.. arXiv (Cornell University). 2 indexed citations

Gupta, Vikas, Yibing Wang, Alejandra Méndèz Romero, et al.. (2018). Fast and robust adaptation of organs-at-risk delineations from planning scans to match daily anatomy in pre-treatment scans for online-adaptive radiotherapy of abdominal tumors. Radiotherapy and Oncology. 127(2). 332–338. 5 indexed citations

10.

Gupta, Vikas, et al.. (2014). SU‐E‐J‐208: Fast and Accurate Auto‐Segmentation of Abdominal Organs at Risk for Online Adaptive Radiotherapy. Medical Physics. 41(6Part9). 205–205. 3 indexed citations

11.

Ashraf, Muhammad, Andriy Myronenko, Thuan Nguyen, et al.. (2010). Defining Left Ventricular Apex-to-Base Twist Mechanics Computed From High-Resolution 3D Echocardiography. JACC. Cardiovascular imaging. 3(3). 227–234. 36 indexed citations

12.

Myronenko, Andriy & Xubo Song. (2010). Point Set Registration: Coherent Point Drift. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(12). 2262–2275. 1859 indexed citations breakdown →

13.

Myronenko, Andriy & Xubo Song. (2010). Intensity-Based Image Registration by Minimizing Residual Complexity. IEEE Transactions on Medical Imaging. 29(11). 1882–1891. 242 indexed citations

14.

Myronenko, Andriy & Xubo Song. (2009). Global active contour-based image segmentation via probability alignment. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1 indexed citations

15.

Myronenko, Andriy & Xubo Song. (2009). Image registration by minimization of residual complexity. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 49–56. 40 indexed citations

16.

Myronenko, Andriy, Xubo Song, & Miguel Á. Carreira-Perpiñán. (2007). Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. 3. 1–8. 2 indexed citations

17.

Myronenko, Andriy, Xubo Song, & David J. Sahn. (2007). LV Motion Tracking from 3D Echocardiography Using Textural and Structural Information. Lecture notes in computer science. 10(Pt 2). 428–435. 28 indexed citations

18.

Myronenko, Andriy, Xubo Song, & Miguel Á. Carreira-Perpiñán. (2007). Non-rigid point set registration: Coherent Point Drift. The MIT Press eBooks. 19. 1009–1016. 169 indexed citations

19.

Song, Xubo, Andriy Myronenko, & David J. Sahn. (2007). Speckle Tracking in 3D Echocardiography with Motion Coherence. 1–7. 11 indexed citations

20.

Song, Xubo, et al.. (2006). Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh. Lecture notes in computer science. 9(Pt 2). 553–560. 8 indexed citations

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.

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