Hyunseok Seo
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Oncology
- Topics
- Advanced MRI Techniques and Applications (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Medical Imaging Techniques and Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Journals
- Magnetic Resonance in MedicineIEEE Transactions on Medical ImagingAmerican Journal of Roentgenology
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Hyunseok Seo
30 papers receiving 551 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 314
- Radiology, Nuclear Medicine and Imaging 266
- Artificial Intelligence 244
- Biomedical Engineering 84
- Oncology 51
Countries citing papers authored by Hyunseok Seo
This map shows the geographic impact of Hyunseok Seo'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 Hyunseok Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunseok Seo more than expected).
Fields of papers citing papers by Hyunseok Seo
This network shows the impact of papers produced by Hyunseok Seo. 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 Hyunseok Seo. The network helps show where Hyunseok Seo may publish in the future.
Co-authorship network of co-authors of Hyunseok Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Hyunseok Seo. A scholar is included among the top collaborators of Hyunseok Seo 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 Hyunseok Seo. Hyunseok Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 63 | |
| 13 | 0 | |
| 14 | Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Imagesbreakdown → | 311 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | A Research about the awareness of the ‘parent-teacher partnership’ and how to direct a training program for teachers | 1 |
| 18 | 5 | |
| 19 | A study on Parental Engagement and the crux of the education for child in Single-parent family | 2 |
| 20 | Parental Engagement according to School Level and Parents’ Socioeconomic Sharacteristics -focusing on the parents of elementary, middle and high school students in Seoul- | 0 |
About Hyunseok Seo
Hyunseok Seo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Information Systems, having authored 36 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Radiology, Nuclear Medicine and Imaging (266 citations) and Health Informatics (11 citations). Hyunseok Seo has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Lei Xing, Maxime Bassenne, Ruoxiu Xiao, Charles Huang, Jinwook Kim, Minsoo Kim, Yixuan Yuan, Xiao Jia, Xiaohan Xing and Max Q.‐H. Meng. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and American Journal of Roentgenology.
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.