Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study
- DOI
- 10.3389/fcvm.2026.1784239
- Published
- 2026-05-07
- Container
- Frontiers in Cardiovascular Medicine
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fcvm.2026.1784239,
title = {Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study},
author = {Satoru Takahashi and Sei Komatsu and Chikao Yutani and Hiroyuki Nishi and Yoshiharu Higuchi and Nobuzo Iwa and Tomoki Ohara and Mitsuhiko Takewa and Kazuhisa Kodama},
year = {2026},
journal = {Frontiers in Cardiovascular Medicine},
doi = {10.3389/fcvm.2026.1784239},
url = {https://doi.org/10.3389/fcvm.2026.1784239}
}RIS
TY - JOUR TI - Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study AU - Satoru Takahashi AU - Sei Komatsu AU - Chikao Yutani AU - Hiroyuki Nishi AU - Yoshiharu Higuchi AU - Nobuzo Iwa AU - Tomoki Ohara AU - Mitsuhiko Takewa AU - Kazuhisa Kodama PY - 2026 JO - Frontiers in Cardiovascular Medicine DO - 10.3389/fcvm.2026.1784239 UR - https://doi.org/10.3389/fcvm.2026.1784239 ER -
APA
Takahashi, S., Komatsu, S., Yutani, C., Nishi, H., Higuchi, Y., Iwa, N., Ohara, T., Takewa, M., & Kodama, K. (2026). Exploratory machine learning analysis to characterize angioscopic features associated with atherosclerosis-related aortic dissection: an exploratory single-center angioscopic study. Frontiers in Cardiovascular Medicine. https://doi.org/10.3389/fcvm.2026.1784239
Source records
- crossref · retrieved 2026-09-25T12:15:48.268Z