Tohru Kamiya

486 total citations
70 papers, 322 citations indexed

About

Tohru Kamiya is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tohru Kamiya has authored 70 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 25 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tohru Kamiya's work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (12 papers) and Advanced Neural Network Applications (12 papers). Tohru Kamiya is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (12 papers) and Advanced Neural Network Applications (12 papers). Tohru Kamiya collaborates with scholars based in Japan, China and United States. Tohru Kamiya's co-authors include Huimin Lu, Shoji Kido, Yujie Li, Shingo Mabu, Seiichi Serikawa, Zhe Chen, Lizhong Xu, Janne J. Näppi, Hiroyuki Yoshida and Tomoki Uemura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Tohru Kamiya

51 papers receiving 313 citations

Peers

Tohru Kamiya
Ehsan Hosseini-Asl United States
Koushlendra Kumar Singh India
Mamta Kathuria India
Hongbo Zhu China
Suane Pires P. da Silva Brazil
Lidong Yang China
Hang Shao China
Yoshito Mekada Japan
Jongchan Park South Korea
Ehsan Hosseini-Asl United States
Tohru Kamiya
Citations per year, relative to Tohru Kamiya Tohru Kamiya (= 1×) peers Ehsan Hosseini-Asl

Countries citing papers authored by Tohru Kamiya

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Kamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Kamiya

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Kamiya. A scholar is included among the top collaborators of Tohru Kamiya 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 Tohru Kamiya. Tohru Kamiya 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.
Kamiya, Tohru, et al.. (2025). Detection of Lung Nodules from CT Image Based on Ensemble Learning. Proceedings of International Conference on Artificial Life and Robotics. 30. 837–840.
2.
Kamiya, Tohru, et al.. (2025). Detection of Lung Nodules from Temporal Subtraction CT Image Using Elastic Net-Based Features Selection. Proceedings of International Conference on Artificial Life and Robotics. 30. 833–836.
3.
Kamiya, Tohru, et al.. (2025). Automatic Classification of Respiratory Sounds by Improving the Loss Function of ResNet. Proceedings of International Conference on Artificial Life and Robotics. 30. 799–802.
4.
Li, Guangxu, et al.. (2024). Physics-Based Optical Coherence Tomography Angiography (OCTA) Image Correction for Shadow Compensation. IEEE Transactions on Biomedical Engineering. 72(3). 891–898. 1 indexed citations
5.
6.
Yabuki, Tomohide, et al.. (2024). Deep Learning Based Prediction of Heat Transfer Coefficient Using Spectrogram Images from Boiling Sound. Proceedings of International Conference on Artificial Life and Robotics. 29. 914–917.
7.
Kim, J. S., et al.. (2023). Classification of circulating tumor cell clusters by morphological characteristics using convolutional neural network-support vector machine. Sensors and Actuators B Chemical. 401. 134896–134896. 12 indexed citations
8.
Li, Yujie, Yuchao Zheng, Huimin Lu, et al.. (2023). Pose Estimation of Point Sets Using Residual MLP in Intelligent Transportation Infrastructure. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13359–13369. 5 indexed citations
9.
10.
Yang, Shuo, Huimin Lu, Tohru Kamiya, Yoshihisa Nakatoh, & Seiichi Serikawa. (2022). LWD-3D: Lightweight Detector Based on Self-Attention for 3D Object Detection. SHILAP Revista de lepidopterología. 1(2). 137–143. 1 indexed citations
11.
Kido, Shoji, Yasushi Hirano, Shingo Mabu, et al.. (2022). Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers in Artificial Intelligence. 5. 782225–782225. 26 indexed citations
12.
Li, Guangxu, Tohru Kamiya, Shingo Mabu, et al.. (2021). Segmentation of liver tumors in multiphase computed tomography images using hybrid method. Computers & Electrical Engineering. 97. 107626–107626. 2 indexed citations
13.
Lu, Huimin, et al.. (2021). Deep-Learning Based Segmentation Algorithm for Defect Detection in Magnetic Particle Testing Images *. Proceedings of International Conference on Artificial Life and Robotics. 26. 235–238. 7 indexed citations
14.
Aoki, Takatoshi, Tohru Kamiya, Huimin Lu, et al.. (2021). CT temporal subtraction: techniques and clinical applications. Quantitative Imaging in Medicine and Surgery. 11(6). 2214–2223. 7 indexed citations
15.
Uemura, Tomoki, et al.. (2021). Weakly unsupervised conditional generative adversarial network for image-based prognostic prediction for COVID-19 patients based on chest CT. Medical Image Analysis. 73. 102159–102159. 14 indexed citations
16.
Näppi, Janne J., et al.. (2021). U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19. Scientific Reports. 11(1). 9263–9263. 7 indexed citations
17.
Kamiya, Tohru, et al.. (2021). Image Registration Method for Chest MDCT Images Based on 2-D Finite Element Method. Proceedings of International Conference on Artificial Life and Robotics. 26. 144–147. 1 indexed citations
18.
Uemura, Tomoki, et al.. (2020). A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. International Journal of Computer Assisted Radiology and Surgery. 16(1). 81–89. 13 indexed citations
19.
Li, Yujie, et al.. (2020). Deep Learning for Visual Segmentation: A Review. 1256–1260. 1 indexed citations
20.
Suzuki, Takahisa, Takashi Suzuki, Masataka Shinoda, et al.. (2004). A CASE OF COLONIC CAVERNOUS HEMANGIOMA TREATED WITH ENDOSCOPIC POLYPECTOMY IN COMBINATION WITH THE LIGATING DEVICE. Acta gastro-enterologica belgica. 46(11). 2409–2415. 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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