HAYASHI MASAZUMI
| Faculty of Health and Medical Science,Department of Medical Course,Medical Engineering Course | Instructor |
Last Updated :2025/06/19
■Researcher basic information
Degree
■Career
Educational Background
Member History
- Special Interest Group on Safety and Security, The Japanese Society for Artificial Intelligence
- JSMS Committee on Multiscale Materials Mechanics
- 日本シミュレーション学会 核融合深層学習研究委員会
- Editing Committee of Machine Learning System Security Guidelines, Security Working Group on Machine Learning System, Machine Learning Systems Engineering (MLSE), Japan Society for Software Science and Technology
■Research activity information
Paper
- Photoreaction of 2-chlorothiophenol studied by low-temperature matrix-isolation IR spectroscopy with DFT calculation
Masazumi Hayashi; Rintaro Ichihara; Nobuyuki Akai; Munetaka Nakata
Journal of Molecular Structure, Nov. 2021, [Reviewed] - Photoinduced Wolff rearrangement and tautomerization of 3-chloro-2-hydroxypyridine isolated in an Ar matrix
Masazumi Hayashi; Hiroto Koga; Takehiro Kumakura; Nobuyuki Akai; Munetaka Nakata
Journal of Molecular Structure, Nov. 2019, [Reviewed]
MISC
- 医療・臨床工学分野における「数理・データサイエンス・AI 教育カリキュラム」に関する考察—Design of a Curriculum Covering Mathematics, Data Science and AI for a Course of Medical Science or Clinical Engineering
後藤, 哲史; 林, 昌純; 鈴木, 昭浩; 藤井, 愼裕
帝京平成大学紀要, Mar. 2023 - Improvements of an ELVO Prediction using Machine Learning
Hiroshi Koyama; Takaharu Sato; Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Shoji Matsumoto
Bulletin of Advanced Institute of Industrial Technology, Jan. 2022 - An attempt to predict Emergent Large Vessel Occlusion(ELVO) using Machine Learning Techniques
Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Takaharu Sato; Shoji Matsumoto; Hiroshi Koyama
JSAI Technical Report, Type 2 SIG, May 2021 - Research for improving the sensitivity of the application ”ELVO checker”
Yuki Kiyomoto, Keigo Shigeta, Masazumi Hayashi, Shoji Matsumoto, Hiroshi Koyama
Neurosurgical Emergency, Feb. 2021 - Structure of vitreous body-Approach to liquefaction using animal models-
Makoto Kodama; Masazumi Hayashi; Miyuki Ishii; Noriko Fujii; Toyoaki Matsuura; Yoshiaki Hara
Folia Japonica de Ophthalmologica Clinica, Nov. 2010
Books and other publications
Lectures, oral presentations, etc.
- An attempt to protect data using digital watermarking
Masazumi Hayashi
Informatics Research Data Repository (IDR) User Forum 2023, National Insitute of Informatics, Dec. 2023 - Photoreaction mechanisms of 4-substituted-2-chlorophenols in low-temperature rare gas matrices
Masahiro Yoshida, Masazumi Hayashi, Nobuyuki Akai
The 15th Annual Meeting of Japan Society for Molecular Science 2021, Sep. 2021 - 機械学習による急性脳主幹動脈閉塞症の予測精度の向上とアプリケーションの操作性改善
Takaharu Sato; Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Shoji Matsumoto; Hiroshi Koyama
IPSJ SIG Software Engineering Software Engineering Symposium 2021, Sep. 2021 - 急性脳主幹動脈閉塞症のための機械学習による予測とアプリケーションのユーザビリティ
林昌純; 佐藤孝治; 清元佑紀; 重田恵吾; 松本省二; 小山裕司
The 38th JSSST Annual Conference, Sep. 2021 - Improving the prediction accuracy of Emergent Large Vessel Occlusion (ELVO) by machine learning and improving the usability of the application
Takaharu Sato; Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Shoji Matsumoto; Hiroshi Koyama
IPSJ The 66th Special Interest Group on Bioinformatics and Genomics, Jun. 2021 - 急性脳主幹動脈閉塞症を高感度で予測するための機械学習モデルの設計
Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Takaharu Sato; Shoji Matsumoto; Hiroshi Koyama
The 3rd Annual Meeting of Japanese Association for Medical Artificial Intelligence, Jun. 2021 - An attempt to predict Emergent Large Vessel Occlusion(ELVO) using Machine Learning Techniques
Masazumi Hayashi; Yuki Kiyomoto; Keigo Shigeta; Takaharu Sato; Shoji Matsumoto; Hiroshi Koyama
第10回JAMI & JSAI AIM 合同研究会, May 2021 - Research for improving the sensitivity of the application ”ELVO checker”
Yuki Kiyomoto; Keigo Shigeta; Masazumi Hayashi; Shoji Matsumoto; Hiroshi Koyama
The 26th Annual Meeting of the Japan Society of Neurosurgical Emergency, Feb. 2021 - Photoreaction mechanisms of 2-halogenated thiophenols isolated in matrix
Kana Nakahara; Masazumi Hayashi; Nobuyuki Akai
The 13th Annual Meeting of Japan Society for Molecular Science 2019 Nagoya, Sep. 2019 - Structure of Vitreous Body
Makoto Kodama; Noriko Fujii; Toyoaki Matsuura; Yoshiaki Hara; Sachiyo Fujinobu; Masazumi Hayashi
The 78th Annual Meeting of the Japanese Biochemical Society, Oct. 2005
Affiliated academic society
- The Society for Discrete Variational Xα
- The Japanese Society for Artificial Intelligence
- Japan Society for Simulation Technology
- The Society of Materials Science, Japan
- Information Processing Society of Japan
- Japan Society for Software Science and Technology
- The Database Society of Japan
- Japanese Association for Medical Artificial Intelligence
- Association for Computing Machinery
- The Chemical Society of Japan
- The institution of Professional Engineers, Japan
- Professional Engineers Alumni Society The University of Tokyo
■University education and qualification information
