Hidetaka Arimura

1.8k total citations
123 papers, 1.3k citations indexed

About

Hidetaka Arimura is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Hidetaka Arimura has authored 123 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Radiology, Nuclear Medicine and Imaging, 58 papers in Pulmonary and Respiratory Medicine and 40 papers in Radiation. Recurrent topics in Hidetaka Arimura's work include Radiomics and Machine Learning in Medical Imaging (44 papers), Advanced Radiotherapy Techniques (39 papers) and Medical Imaging Techniques and Applications (32 papers). Hidetaka Arimura is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (44 papers), Advanced Radiotherapy Techniques (39 papers) and Medical Imaging Techniques and Applications (32 papers). Hidetaka Arimura collaborates with scholars based in Japan, United States and Belarus. Hidetaka Arimura's co-authors include Kunio Doi, Kenta Ninomiya, Shigehiko Katsuragawa, Mazen Soufi, Yukunori Korogi, Yoshiyuki Shioyama, Yasuo Yamashita, Taiki Magome, Shusuke Sone and Kenji Suzuki and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Hidetaka Arimura

111 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetaka Arimura Japan 19 819 547 245 223 185 123 1.3k
Soumya Ghose United States 15 909 1.1× 566 1.0× 213 0.9× 360 1.6× 336 1.8× 53 1.4k
Jifke F. Veenland Netherlands 22 733 0.9× 418 0.8× 173 0.7× 342 1.5× 136 0.7× 51 1.4k
Alessandro Stefano Italy 25 880 1.1× 431 0.8× 207 0.8× 298 1.3× 183 1.0× 82 1.3k
Jérôme Declerck United Kingdom 24 1.0k 1.3× 388 0.7× 127 0.5× 299 1.3× 312 1.7× 69 1.8k
Fulvio Zaccagna Italy 22 824 1.0× 497 0.9× 83 0.3× 258 1.2× 121 0.7× 83 1.6k
Jan Hendrik Moltz Germany 16 644 0.8× 294 0.5× 204 0.8× 174 0.8× 211 1.1× 47 965
Donald J. Peck United States 21 1.1k 1.3× 344 0.6× 126 0.5× 269 1.2× 261 1.4× 45 1.6k
Leonard Sunwoo South Korea 21 695 0.8× 303 0.6× 92 0.4× 175 0.8× 96 0.5× 72 1.2k
Maria Francesca Spadea Italy 24 859 1.0× 496 0.9× 88 0.4× 422 1.9× 157 0.8× 75 1.5k
Nico Karssemeijer Netherlands 19 955 1.2× 645 1.2× 645 2.6× 255 1.1× 470 2.5× 61 1.6k

Countries citing papers authored by Hidetaka Arimura

Since Specialization
Citations

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

Fields of papers citing papers by Hidetaka Arimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetaka Arimura

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Arimura. A scholar is included among the top collaborators of Hidetaka Arimura 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 Hidetaka Arimura. Hidetaka Arimura 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.
Yu, Jin, et al.. (2024). [Applications] 10. Radiomics Researches for Cancer Treatment Using Python. Japanese Journal of Radiological Technology. 80(5). 549–557. 1 indexed citations
2.
Arimura, Hidetaka, Kentaro Tanaka, Hidetake Yabuuchi, et al.. (2024). Topological radiogenomics based on persistent lifetime images for identification of epidermal growth factor receptor mutation in patients with non-small cell lung tumors. Computers in Biology and Medicine. 185. 109519–109519.
3.
Ninomiya, Kenta, Hidetaka Arimura, Kentaro Tanaka, et al.. (2023). Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients. Computer Methods and Programs in Biomedicine. 236. 107544–107544. 7 indexed citations
4.
Arimura, Hidetaka, et al.. (2023). Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images. Magnetic Resonance Materials in Physics Biology and Medicine. 36(5). 767–777. 4 indexed citations
5.
Arimura, Hidetaka, et al.. (2023). Magnetic resonance-based imaging biopsy with signatures including topological Betti number features for prediction of primary brain metastatic sites. Physical and Engineering Sciences in Medicine. 46(4). 1411–1426. 2 indexed citations
6.
7.
Ninomiya, Kenta & Hidetaka Arimura. (2019). Homological radiomics analysis for prognostic prediction in lung cancer patients. Physica Medica. 69. 90–100. 21 indexed citations
8.
Arimura, Hidetaka, et al.. (2019). Comparison of volumetric-modulated arc therapy and intensity-modulated radiation therapy prostate cancer plans accounting for cold spots. Radiological Physics and Technology. 12(2). 137–148. 4 indexed citations
9.
10.
Arimura, Hidetaka, et al.. (2018). Effect of accounting for interfractional CTV shape variations in PTV margins on prostate cancer radiation treatment plans. Physica Medica. 54. 66–76. 3 indexed citations
11.
Ninomiya, Kenta, et al.. (2018). Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy. Radiological Physics and Technology. 11(4). 434–444. 2 indexed citations
12.
Arimura, Hidetaka, Yoshiyuki Shioyama, Norimasa Matsushita, et al.. (2012). Computerized estimation of patient setup errors in portal images based on localized pelvic templates for prostate cancer radiotherapy. Journal of Radiation Research. 53(6). 961–972. 5 indexed citations
13.
Arimura, Hidetaka, Shingo Kakeda, Daisuke Yamamoto, et al.. (2011). Automated detection of multiple sclerosis candidate regions in MR images: false-positive removal with use of an ANN-controlled level-set method. Radiological Physics and Technology. 5(1). 105–113. 13 indexed citations
14.
Magome, Taiki, Hidetaka Arimura, Shingo Kakeda, et al.. (2009). Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009)). 108(385). 9–10. 1 indexed citations
15.
Yoshitake, Tadamasa, Yoshiyuki Shioyama, Katsumasa Nakamura, et al.. (2009). A clinical evaluation of visual feedback-guided breath-hold reproducibility of tumor location. Physics in Medicine and Biology. 54(23). 7171–7182. 16 indexed citations
16.
Arimura, Hidetaka, Qiang Li, Yukunori Korogi, et al.. (2006). Computerized detection of intracranial aneurysms for three‐dimensional MR angiography: Feature extraction of small protrusions based on a shape‐based difference image technique. Medical Physics. 33(2). 394–401. 49 indexed citations
17.
Feng, Li, Hidetaka Arimura, Kenji Suzuki, et al.. (2005). Computer-aided Detection of Peripheral Lung Cancers Missed at CT: ROC Analyses without and with Localization. Radiology. 237(2). 684–690. 88 indexed citations
18.
Hirai, Toshinori, Yukunori Korogi, Hidetaka Arimura, et al.. (2005). Intracranial Aneurysms at MR Angiography: Effect of Computer-aided Diagnosis on Radiologists' Detection Performance. Radiology. 237(2). 605–610. 39 indexed citations
19.
Ishida, Takayuki, Hidetaka Arimura, Shigehiko Katsuragawa, et al.. (2003). Report on the Radiological Society of North America 88th Scientific Assembly and Annual Meeting. Japanese Journal of Radiological Technology. 59(3). 396–397.
20.
Arimura, Hidetaka, et al.. (1995). Wiener spectra of quantum mottle and structure mottle condidering the effects of crossover exposure of front and back emulsions. Journal of Imaging Science and Technology. 39(2). 148–156. 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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