Andriy Myronenko

9.9k citations
46 papers · 5.5k · 4 hit papers · h-index 20

Impact in

Papers in

Andriy Myronenko

43 papers receiving 5.4k citations

Andriy Myronenko's Hit Papers

UNETR: Transformers for 3D Medical Image Segmentation 2022 · 1.8k citations
1.8k0+5+10Years since publication50010001.5k2.0k

Peers

Andriy Myronenko
Comparison fields: 5 of 160
  • Computer Vision and Pattern Recognition 2.8k
  • Health Informatics 90
  • Neurology 511
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Geology 302
Replace Ghassan Hamarneh with:
Ghassan Hamarneh Canada
Manning Wang China
Marc Niethammer United States
Jianbing Shen China
Xin Yang China
Emanuele Trucco United Kingdom
Xavier Lladó Spain
Nikos Paragios France
Danail Stoyanov United Kingdom
Dimitris Metaxas United States
Andriy Myronenko relative to Ghassan Hamarneh Canada Ghassan Hamarneh's profile →
Citations per field
00.5×1.5×2.3×
Ghassan Hamarneh · 1×
Citations per year

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-authors

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.

Border = papers with Andriy Myronenko Line = papers co-authored together Andriy Myronenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Point Set Registration: Coherent Point Drift
Hit paper breakdown →
20102049
2
UNETR: Transformers for 3D Medical Image Segmentation
Hit paper breakdown →
20221789
3
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation
Hit paper breakdown →
2020351
4 2010258
5
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Hit paper breakdown →
2021203
6 2007190
7 202372
8 202360
9 201847
10 200945
11 201038
12 202136
13 200936
14 200732
15 202125
16 202025
17 202124
18 202223
19 201920
20 202319

About Andriy Myronenko

Andriy Myronenko is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 46 papers that have together received 5.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Advanced Neural Network Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Vision and Imaging (6 papers), AI in cancer detection (6 papers), Medical Imaging and Analysis (5 papers), Robotics and Sensor-Based Localization (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Health Informatics (90 citations), Neurology (511 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Geology (302 citations). Andriy Myronenko has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Xubo Song, Daguang Xu, Dong Yang, Holger R. Roth, 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, Lecture notes in computer science, Circulation and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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