Hidekata Hontani

975 total citations
61 papers, 559 citations indexed

About

Hidekata Hontani is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Hidekata Hontani has authored 61 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Hidekata Hontani's work include Medical Image Segmentation Techniques (16 papers), AI in cancer detection (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Hidekata Hontani is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), AI in cancer detection (12 papers) and Sparse and Compressive Sensing Techniques (8 papers). Hidekata Hontani collaborates with scholars based in Japan, Finland and China. Hidekata Hontani's co-authors include Tatsuya Yokota, Noriaki Hashimoto, Ichiro Takeuchi, Masato Nakaguro, Yusuke Takagi, Shigeo Nakamura, Kei Kohno, Daisuke Fukushima, Yoshihide Sawada and Koichiro Deguchi and has published in prestigious journals such as IEEE Access, Physics in Medicine and Biology and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Hidekata Hontani

55 papers receiving 549 citations

Peers

Hidekata Hontani
Roberto Rigamonti Switzerland
Kun Zeng China
Chengcai Leng China
Amos Sironi Switzerland
Fen Xiao China
Rudrasis Chakraborty United States
Shuchang Zhou China
Jiazhou Chen China
Roberto Rigamonti Switzerland
Hidekata Hontani
Citations per year, relative to Hidekata Hontani Hidekata Hontani (= 1×) peers Roberto Rigamonti

Countries citing papers authored by Hidekata Hontani

Since Specialization
Citations

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

Fields of papers citing papers by Hidekata Hontani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidekata Hontani

This figure shows the co-authorship network connecting the top 25 collaborators of Hidekata Hontani. A scholar is included among the top collaborators of Hidekata Hontani 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 Hidekata Hontani. Hidekata Hontani 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.
Yokota, Tatsuya, et al.. (2025). Cortical surface electric field estimation for real-time TMS with graph neural networks. Physics in Medicine and Biology. 70(23). 235010–235010.
2.
Yokota, Tatsuya, et al.. (2024). Attention induction based on pathologist annotations for improving whole slide pathology image classifier. Journal of Pathology Informatics. 16. 100413–100413.
3.
Yokota, Tatsuya, Koichi Ohshima, Hiroaki Miyoshi, et al.. (2024). A study of criteria for grading follicular lymphoma using a cell type classifier from pathology images based on complementary-label learning. Micron. 184. 103663–103663. 2 indexed citations
4.
Takagi, Yusuke, Noriaki Hashimoto, H. Masuda, et al.. (2023). Transformer-based personalized attention mechanism for medical images with clinical records. Journal of Pathology Informatics. 14. 100185–100185. 10 indexed citations
5.
Yokota, Tatsuya, et al.. (2023). Electric Field Regression and Error Variance Estimation for Transcranial Magnetic Stimulation using Deep Neural Networks. Advanced Biomedical Engineering. 12(0). 225–235. 1 indexed citations
6.
Yokota, Tatsuya, Tatsuya Nagata, Takenobu Murakami, et al.. (2019). Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks. Brain stimulation. 12(6). 1500–1507. 38 indexed citations
7.
Tamura, Yuki, Naoki Kawamura, Hirokazu Kobayashi, et al.. (2019). Robust 3D image reconstruction of pancreatic cancer tumors from histopathological images with different stains and its quantitative performance evaluation. International Journal of Computer Assisted Radiology and Surgery. 14(12). 2047–2055. 10 indexed citations
8.
Tamura, Yuki, Tatsuya Yokota, Chika Iwamoto, et al.. (2019). Partial rigid diffeomorphism for measuring temporal change of pancreatic cancer tumor. 66–66. 2 indexed citations
9.
Masuda, Hiroshi, et al.. (2015). Automatic Artery Extraction in Ultrasound Images for the aid of FMD test. IEICE Technical Report; IEICE Tech. Rep.. 115(139). 1–6. 1 indexed citations
10.
Sawada, Yoshihide & Hidekata Hontani. (2012). A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. Lecture notes in computer science. 15(Pt 2). 470–477. 7 indexed citations
11.
Sawada, Yoshihide, Wataru Watanabe, & Hidekata Hontani. (2011). Comparison of the Registration Performance between MCMC-based method and Belief Propagation-based one. IEICE technical report. Speech. 110(364). 51–56. 1 indexed citations
12.
Hontani, Hidekata, et al.. (2010). A Strategy to Improve PET Neuroreceptor Analysis MA1 Based on Statistics of Measurement Errors. IEICE technical report. Speech. 109(407). 7–12.
13.
Hontani, Hidekata. (2007). A Computer Aided Diagnosis System for Malignant Tumors Using FDG-PET/CT Images. Japanese Journal of Radiological Technology. 63(12). 1460–1463. 1 indexed citations
14.
Sato, Hidenori, Jin Wu, Thet‐Thet Lwin, et al.. (2007). Quantitative evaluation of myocardial function by a volume-normalized map generated from relative blood flow. Physics in Medicine and Biology. 52(14). 4311–4330. 1 indexed citations
15.
Hontani, Hidekata, et al.. (2006). Tumor Detection in PET/CT images. IEICE technical report. Speech. 105(579). 1–4. 1 indexed citations
16.
Hontani, Hidekata. (2005). <title>A visual tracking system using an RFID tag</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5670. 165–174. 1 indexed citations
17.
Hontani, Hidekata, et al.. (2004). A visual tracking system using an RFID-tag. Society of Instrument and Control Engineers of Japan. 3. 2720–2723. 4 indexed citations
18.
Hontani, Hidekata, et al.. (2003). Visual tracking system using an ID-tag and the network. Society of Instrument and Control Engineers of Japan. 3. 2375–2380. 3 indexed citations
19.
Deguchi, Koichiro, et al.. (2000). 3D Fundus Shape Reconstruction and Display from Stereo Fundus Images. 83(7). 1408–1414. 16 indexed citations
20.
Deguchi, Koichiro, et al.. (1999). Real-Time Object Tracking and 3D Reconstruction by Active Camera. Transactions of the Society of Instrument and Control Engineers. 35(5). 675–683. 3 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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