| Address |
6-3-1, Niijuku, Katsushika-ku, Tokyo 125-8585, Japan
TEL : +81-3-5876-1717 |
| E-mail Address |
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| Homepage |
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| Information about TUS |
https://www.tus.ac.jp/academics/teacher/lightbox/7841.html
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Pure
(Researcher Profiling Tool) |
https://tus.elsevierpure.com/ja/persons/soichiro-fujimura |
| Under-Graduate School |
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2015, Tokyo University of Science Faculty of Engineering Mechanical Engineering
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| Graduate School |
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2020, Tokyo University of Science Graduate School, Division of Engineering Mechanical Engineering Doctoral Degree
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| Postgraduate Qualification |
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Jikei University Doctor of Philosophy in Medical Science
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Tokyo University of Science Doctor of Engineering
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| Research History |
- 2014-2015 Investigated the factors associated with recanalization of intracranial aneurysms after coil embolization using computational fluid dynamics (CFD) analysis
2015-2017 Developed optimization techniques for coil embolization in the treatment of intracranial aneurysms
2017-2020 Established quantitative evaluation methods for coil embolization based on numerical simulation
2020-2023 Developed an artificial intelligence-based support system for the management of unruptured intracranial aneurysms
2023- Engaged in the development of medical devices and diagnostic/treatment support technologies using numerical simulations and AI technologies
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| Employment History |
201504-202303 Jikei University School of Medicine, Department of Innovation for Medical Information Technology, Researcher
201704-202003 Japan Society for the Promotion of Science, Research Fellowship for Young Scientists DC1
202004-202303 Japan Society for the Promotion of Science, Research Fellowship for Young Scientists PD
202304- Jikei University School of Medicine, Department of Innovation for Medical Information Technology, Assistant Professor
202304- Tokyo University of Science, Department of Mechanical Engineering
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| Research Keyword |
Fluid Engineering, Computational Fluid Engineering, Biomedical Engineering, Neurosurgery
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| Research Area |
- Fluid engineering (Computational Fluid Dynamics)
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| Research Theme |
- Engaged in the development of medical devices and diagnostic/treatment support technologies using numerical simulations and AI technologies
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| Academic Awards Received |
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2017.6.15
Open Finalist in the 2017 EMBS Student Paper Competition
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2016.8.18
1st Place 2016 EMBS Student Paper Competition
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2016.6.24
Geographic Finalist: Asia-Pacific in the 2016 EMBS Student Paper Competition
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| Academic Society Affiliations |
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| Guest Professor |
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