Andriy Myronenko

9.5k citations
33 papers · 4.5k indexed · 4 hit papers · h-index 14

Andriy Myronenko

31 papers receiving 4.4k citations

Hit Papers

UNETR: Transformers ...1.4k201020262015202050010001.5k

Peers

Andriy Myronenko
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
Replace Nikos Paragios with:
Nikos Paragios France
Ghassan Hamarneh Canada
Dirk Vandermeulen Belgium
Xavier Lladó Spain
Marc Niethammer United States
Danail Stoyanov United Kingdom
Emanuele Trucco United Kingdom
Lena Maier‐Hein Germany
Anthony Yezzi United States
Hervé Delingette France
Andriy Myronenko relative to Nikos Paragios France Nikos Paragios's profile →
Citations per field
00.5×1.7×
Nikos Paragios · 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-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.

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
#Work
1 20257
2 20250
3 202364
4 20230
5
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown →
2021176
6
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown →
2020288
7 20201
8
Boundary Aware Networks for Medical Image Segmentation.
20192
9 20185
10
Point Set Registration: Coherent Point Driftbreakdown →
20101859
11 201036
12 2010242
13 20091
14 200940
15 20093
16 200728
17 20072
18 2007169
19
Vision-only Navigation and Control of Unmanned Aerial Vehicles Using the Sigma-Point Kalman Filter
20072
20 20068

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.

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