Seyoun Park

1.4k total citations
30 papers, 676 citations indexed

About

Seyoun Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, Seyoun Park has authored 30 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Radiation. Recurrent topics in Seyoun Park's work include Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Computer Graphics and Visualization Techniques (7 papers). Seyoun Park is often cited by papers focused on Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Computer Graphics and Visualization Techniques (7 papers). Seyoun Park collaborates with scholars based in United States, South Korea and Canada. Seyoun Park's co-authors include Elliot K. Fishman, Alan Yuille, Hayong Shin, Linda C. Chu, Yan Wang, Wei Shen, Yuyin Zhou, Ralph H. Hruban, Satomi Kawamoto and Junghoon Lee and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Seyoun Park

28 papers receiving 666 citations

Peers

Seyoun Park

RNMI

ONCOL

PRM

CVPR

Roel Truyen Netherlands

Senthil Periaswamy United States

Jan Hendrik Moltz Germany

Jan‐Martin Kuhnigk Germany

Hirotsugu Takabatake Japan

Rubén Cárdenes Spain

Dag Pavić United States

Lars Bornemann Germany

Yoshiki Kawata Japan

Dakai Jin United States

Roel Truyen Netherlands

Seyoun Park

195 ×0.4

RNMI

242 ×1.2

ONCOL

132 ×0.7

PRM

202 ×1.2

CVPR

80 ×0.6

Citations per year, relative to Seyoun Park Seyoun Park (= 1×) peers Roel Truyen

Countries citing papers authored by Seyoun Park

Since Specialization

Citations

This map shows the geographic impact of Seyoun Park'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 Seyoun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seyoun Park more than expected).

Fields of papers citing papers by Seyoun Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seyoun Park. 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 Seyoun Park. The network helps show where Seyoun Park may publish in the future.

Co-authorship network of co-authors of Seyoun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Seyoun Park. A scholar is included among the top collaborators of Seyoun Park 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 Seyoun Park. Seyoun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chu, Linda C., Seyoun Park, Daniel Fadaei Fouladi, et al.. (2022). Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologists. Abdominal Radiology. 47(12). 4139–4150. 22 indexed citations

Chu, Linda C., Seyoun Park, Satomi Kawamoto, et al.. (2020). Pancreatic Cancer Imaging: A New Look at an Old Problem. Current Problems in Diagnostic Radiology. 50(4). 540–550. 15 indexed citations

Chu, Linda C., Berkan Solmaz, Seyoun Park, et al.. (2020). Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls. Abdominal Radiology. 45(8). 2469–2475. 15 indexed citations

Wang, Yan, Yuyin Zhou, Wei Shen, et al.. (2019). Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. Medical Image Analysis. 55. 88–102. 156 indexed citations

Chu, Linda C., Seyoun Park, Satomi Kawamoto, et al.. (2019). Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. American Journal of Roentgenology. 213(2). 349–357. 139 indexed citations

Park, Seyoun, William Plishker, Harry Quon, et al.. (2017). Deformable registration of CT and cone-beam CT with local intensity matching. Physics in Medicine and Biology. 62(3). 927–947. 24 indexed citations

Park, Seyoun, et al.. (2017). Simultaneous tumor and surrogate motion tracking with dynamic MRI for radiation therapy planning. Physics in Medicine and Biology. 63(2). 25015–25015. 26 indexed citations

Ashrafinia, Saeed, Seyoun Park, Junghoon Lee, et al.. (2017). The Use of Low-Dose CT Intra- and Extra-Nodular Image Texture Features to Improve Small Lung Nodule Diagnosis in Lung Cancer Screening. 14. 1–4. 2 indexed citations

Huang, Peng, Seyoun Park, Junghoon Lee, et al.. (2017). Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study. Radiology. 286(1). 286–295. 110 indexed citations

10.

Park, Seyoun, et al.. (2016). 3D freehand ultrasound reconstruction using a piecewise smooth Markov random field. Computer Vision and Image Understanding. 151. 101–113. 18 indexed citations

11.

Park, Seyoun, Danny Y. Song, & Junghoon Lee. (2016). Deformable registration of x-ray to MRI for post-implant dosimetry in prostate brachytherapy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9786. 97860L–97860L.

12.

Park, Seyoun, Harry Quon, Ana P. Kiess, et al.. (2016). Accurate tracking of tumor volume change during radiotherapy by CT-CBCT registration with intensity correction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9786. 97860P–97860P. 2 indexed citations

13.

Park, Seyoun, Todd McNutt, William Plishker, et al.. (2016). Technical Note: scuda: A software platform for cumulative dose assessment. Medical Physics. 43(10). 5339–5346. 1 indexed citations

14.

Park, Seyoun, et al.. (2015). Combining volumetric dental CT and optical scan data for teeth modeling. Computer-Aided Design. 67-68. 24–37. 9 indexed citations

15.

Park, Seyoun, William Plishker, Raj Shekhar, et al.. (2015). Deformable registration of CT and cone-beam CT by local CBCT intensity correction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 941333–941333. 5 indexed citations

16.

Park, Seyoun & Hayong Shin. (2013). Automatic reconstruction of the arterial and venous trees on volumetric chest CT for quantification of the vessel distribution and extent. 563–572. 1 indexed citations

17.

Park, Seyoun, Sang Min Lee, Namkug Kim, Joon Beom Seo, & Hayong Shin. (2013). Automatic reconstruction of the arterial and venous trees on volumetric chest CT. Medical Physics. 40(7). 71906–71906. 21 indexed citations

18.

Park, Seyoun & Hayong Shin. (2009). Machining Tool Path Generation for Point Set. 8(1). 45–53. 1 indexed citations

19.

Shin, Hayong, et al.. (2008). VORONOI DIAGRAM OF A POLYGON IN CHESSBOARD METRIC AND MASKLESS LITHOGRAPHIC APPLICATIONS. International Journal of Computational Geometry & Applications. 18(4). 357–371. 1 indexed citations

20.

Park, Seyoun, et al.. (2006). Progressive Model Construction for N-Sided Polygonal Meshes. 8–13. 1 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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