Image Processing Research Team

Team Leader

Hideo Yokota

D.Eng.

Photo: Hideo Yokota

Contact

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Image Processing Research Team,
RIKEN Center for Advanced Photonics

2-1 Hirosawa, Wako, Saitama 351-0198 Japan

Outline

Our goal is to develop original RIKEN data processing technology and multidimensional measurement technology in order to contribute to understanding biological phenomena. We are especially contributing to the fields of mathematical biology, bio-medical simulations as well as medical diagnostic and treatment technology by researching and developing new data and image processing technologies and establishing new tools for quantification of biological phenomena, intended for researchers both inside and outside RIKEN.

Fields

Engineering, Informatics, Computer Science

Keywords

Multi dimensional image processing, Multi dimensional imaging, Bioengineering, Image analysis, Medical engineering

Subjects

  1. Development of algorithms for image processing
  2. Development of image processing systems
  3. Construction of instrumentation system for bio-research data creation
Research image

Image Processing Cloud

Selected Publications

  1. Takemoto, S., Hori, K., Yoshimasa, S., Nishimura, M., Nakajo, K., Inaba, A., Sasabe, M., Aoyama, N., Watanabe, T., Minakata, T., Ikematsu, H., Yokota, H., Yano, T.: “Computer-aided demarcation of early gastric cancer: a pilot comparative study with ndoscopists” , Journal of Gastroenterology (2023).
  2. Umebayashi, M., Takemoto, S., Reymond, L., Sundukova, M., Hovius, R., Bucci, A., Heppenstall, P.A., Yokota, H., Johnsson, K., Riezman, H.: “A covalently-linked probe to monitor local membrane properties surrounding plasma membrane proteins” , Journal of Cell Biology, 222(3):e202206119 (2023).
  3. Ando, N., Kono, T., Ogihara, N., Nakamura, S., Yokota, H., Kanzaki, R.: “Modeling the musculoskeletal system of an insect thorax for flapping flight” , Bioinspiration & Biomimetics.17,6. (2022).
  4. Furukawa, T., Oyama, S., Yokota, H., Kondoh, Y., Kataoka, K., Johkoh, T.: “A comprehensible machine learning tool to differentially diagnose idiopathic pulmonary fibrosis from other chronic interstitial lung diseases” , Respirology, (2022).
  5. Fukatsu, M., Yoshizawa, S., Takemura, H., and Yokota, H.: “Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering” , Proc. of Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers, pp. 43-48, Eurographics Digital Library, (2022).

Members

Hideo YokotaTeam Leader
Shin YoshizawaSenior Scientist
Satoshi OotaSpecial Temporary Research Scientist
Shigeho NodaSenior Scientist
Takashi MichikawaSenior Scientist
Satoko TakemotoResearch Scientist
Norio YamashitaResearch Scientist
Sakiko NakamuraTechnical StaffⅠ
Yuki TsujimuraTechnical StaffⅠ
Masaomi NishimuraTechnical StaffⅠ
Xianping ZhangJRA
Takashi UematsuJRA
Hidekazu TakahashiJRA
Shuning HanJRA