Hiromasa Imaizumi
Department Kawasaki University of Medical Welfare , Position Assistant Professor |
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Article types | 原著 |
Language | English |
Peer review | Peer reviewed |
Title | Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible? |
Journal | Formal name:Radiography |
Domestic / Foregin | Foregin |
Volume, Issue, Page | 28(4),pp.906-911 |
Author and coauthor | T. Masuda, Y. Baba, T. Nakaura, Y. Funama, T. Sato, S. Masuda, R. Gotanda, K. Arao, H. Imaizumi, S. Arao, A. Ono, J. Hiratsuka, K. Awai |
Publication date | 2022/11 |