Yusuke Kurose

405 total citations
25 papers, 226 citations indexed

About

Yusuke Kurose is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yusuke Kurose has authored 25 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Yusuke Kurose's work include Soft Robotics and Applications (8 papers), Augmented Reality Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yusuke Kurose is often cited by papers focused on Soft Robotics and Applications (8 papers), Augmented Reality Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yusuke Kurose collaborates with scholars based in Japan, United States and South Korea. Yusuke Kurose's co-authors include Tatsuya Harada, Mamoru Mitsuishi, Kanako Harada, Akio Morita, Keita Otani, Akihiko Yoshizawa, Masashi Fukayama, Hiroyuki Abé, Ryota Niikura and Tomonori Aoki and has published in prestigious journals such as Diseases of the Colon & Rectum, Medical Image Analysis and Cancer Science.

In The Last Decade

Yusuke Kurose

25 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Kurose Japan 10 70 66 63 56 52 25 226
Di-Xiu Xue China 5 72 1.0× 101 1.5× 131 2.1× 64 1.1× 73 1.4× 6 324
Xinyi Zeng China 9 73 1.0× 33 0.5× 54 0.9× 60 1.1× 14 0.3× 24 269
Hirokazu Nosato Japan 9 99 1.4× 26 0.4× 79 1.3× 105 1.9× 107 2.1× 54 347
Yisen Huang China 10 64 0.9× 92 1.4× 49 0.8× 16 0.3× 27 0.5× 41 294
Vincent F. van Ravesteijn Netherlands 7 30 0.4× 43 0.7× 102 1.6× 112 2.0× 135 2.6× 13 299
Kutsev Bengisu Ozyoruk United States 5 17 0.2× 26 0.4× 87 1.4× 49 0.9× 36 0.7× 7 193
Keewon Shin South Korea 9 63 0.9× 131 2.0× 56 0.9× 199 3.6× 64 1.2× 21 455
Long Bai China 9 12 0.2× 34 0.5× 42 0.7× 37 0.7× 19 0.4× 26 168
Yonghao Long Hong Kong 9 128 1.8× 95 1.4× 93 1.5× 24 0.4× 26 0.5× 20 273
Luisa F. Sánchez‐Peralta Spain 10 93 1.3× 105 1.6× 103 1.6× 119 2.1× 135 2.6× 24 364

Countries citing papers authored by Yusuke Kurose

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kurose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kurose

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

All Works

20 of 20 papers shown
1.
Kobayashi, Kazuma, Lin Gu, Mototaka Miyake, et al.. (2023). Sketch-based semantic retrieval of medical images. Medical Image Analysis. 92. 103060–103060. 5 indexed citations
2.
3.
Kurose, Yusuke, Kazushige Kawai, Hirotoshi Kobayashi, et al.. (2023). Development of a Diagnostic Artificial Intelligence Tool for Lateral Lymph Node Metastasis in Advanced Rectal Cancer. Diseases of the Colon & Rectum. 66(12). e1246–e1253. 9 indexed citations
4.
Abé, Hiroyuki, Yusuke Kurose, Tetsuo Ushiku, et al.. (2022). Development and multi‐institutional validation of an artificial intelligence‐based diagnostic system for gastric biopsy. Cancer Science. 113(10). 3608–3617. 8 indexed citations
5.
Kobayashi, Kazuma, Yusuke Kurose, Mototaka Miyake, et al.. (2021). Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Analysis. 74. 102227–102227. 22 indexed citations
6.
7.
Kurose, Yusuke, et al.. (2020). [A Study on the Status of End-of-Life Chemotherapy for Solid Cancer after the Introduction of New Anti-Cancer Drugs].. Gan to kagaku ryōhō. 47(13). 2236–2238. 1 indexed citations
8.
Otani, Keita, Ayako Nakada, Yusuke Kurose, et al.. (2020). Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network. Endoscopy. 52(9). 786–791. 38 indexed citations
9.
Ando, Masahiko, Masayuki Takeuchi, Yusuke Kurose, et al.. (2019). Cost-utility analysis of aprepitant for patients who truly need it in Japan. Supportive Care in Cancer. 27(10). 3749–3758. 2 indexed citations
10.
Kurose, Yusuke, et al.. (2019). Hierarchical Task Planning from Object Goal State for Human-Assist Robot. 15. 1359–1366. 4 indexed citations
11.
Kurose, Yusuke, Hiroyuki Abé, Masashi Fukayama, et al.. (2019). Multi-Stage Pathological Image Classification Using Semantic Segmentation. 10701–10710. 29 indexed citations
12.
Tayama, Takashi, Yusuke Kurose, Murilo M. Marinho, et al.. (2018). Autonomous Positioning of Eye Surgical Robot Using the Tool Shadow and Kalman Filtering. PubMed. 2018. 1723–1726. 11 indexed citations
13.
Chen, Yujun, Murilo M. Marinho, Atsushi Nakazawa, et al.. (2018). Towards robust needle segmentation and tracking in pediatric endoscopic surgery. Research Explorer (The University of Manchester). 96–96. 4 indexed citations
14.
Hasegawa, Shiori, Yoshiaki Ikeda, Masayuki Takeuchi, et al.. (2018). Cost‐effectiveness of aprepitant in Japanese patients treated with cisplatin‐containing highly emetogenic chemotherapy. Cancer Science. 109(9). 2881–2888. 12 indexed citations
15.
Nakazawa, Atsushi, Yusuke Kurose, Kanako Harada, et al.. (2017). Intelligent control of neurosurgical robot MM-3 using dynamic motion scaling. Neurosurgical FOCUS. 42(5). E5–E5. 7 indexed citations
16.
Ueda, Hiroaki, Atsushi Nakazawa, Yusuke Kurose, et al.. (2017). Toward Autonomous Collision Avoidance for Robotic Neurosurgery in Deep and Narrow Spaces in the Brain. Procedia CIRP. 65. 110–114. 15 indexed citations
17.
Tayama, Takashi, Yusuke Kurose, Kanako Harada, et al.. (2017). Image Processing for Autonomous Positioning of Eye Surgery Robot in Micro-Cannulation. Procedia CIRP. 65. 105–109. 7 indexed citations
18.
Nakazawa, Atsushi, Shinichi Tanaka, Yusuke Kurose, et al.. (2016). Development of a miniature neurosurgical robotic system with multi-DOF forceps targeted for tasks in deep spaces. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 1A1–03a1. 3 indexed citations
19.
Nakazawa, Atsushi, Kanako Harada, Shinichi Tanaka, et al.. (2016). Feedback methods for collision avoidance using virtual fixtures for robotic neurosurgery in deep and narrow spaces. 247–252. 11 indexed citations
20.
Harada, Kanako, Shinichi Tanaka, Yusuke Kurose, et al.. (2013). 2A1-L04 Development of Master Manipulator with High Usability for Microsurgical Robotic System(Surgical Robotics and Mechatronics (1)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2013(0). _2A1–L04_1. 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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