Atherosclerosis diagnosis from magnetic resonance images: an empirical approach to automate carotid vessel wall segmentation and feature-based prediction
- DOI
- 10.1007/s13246-026-01809-0
- Published
- 2026-09-28
- Container
- Physical and Engineering Sciences in Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13246-026-01809-0,
title = {Atherosclerosis diagnosis from magnetic resonance images: an empirical approach to automate carotid vessel wall segmentation and feature-based prediction},
author = {Sriman Bidhan Baray and Rusab Sarmun and M. Sajidul Islam and Md Shaheenur Islam Sumon and Adam Mushtak and M. Murugappan and Haniza Yazid and Muhammad E. H. Chowdhury},
year = {2026},
journal = {Physical and Engineering Sciences in Medicine},
doi = {10.1007/s13246-026-01809-0},
url = {https://doi.org/10.1007/s13246-026-01809-0}
}RIS
TY - JOUR TI - Atherosclerosis diagnosis from magnetic resonance images: an empirical approach to automate carotid vessel wall segmentation and feature-based prediction AU - Sriman Bidhan Baray AU - Rusab Sarmun AU - M. Sajidul Islam AU - Md Shaheenur Islam Sumon AU - Adam Mushtak AU - M. Murugappan AU - Haniza Yazid AU - Muhammad E. H. Chowdhury PY - 2026 JO - Physical and Engineering Sciences in Medicine DO - 10.1007/s13246-026-01809-0 UR - https://doi.org/10.1007/s13246-026-01809-0 ER -
APA
Baray, S. B., Sarmun, R., Islam, M. S., Sumon, M. S. I., Mushtak, A., Murugappan, M., Yazid, H., & Chowdhury, M. E. H. (2026). Atherosclerosis diagnosis from magnetic resonance images: an empirical approach to automate carotid vessel wall segmentation and feature-based prediction. Physical and Engineering Sciences in Medicine. https://doi.org/10.1007/s13246-026-01809-0
Source records
- crossref · retrieved 2026-11-04T15:58:53.001Z