Evaluation and optimisation of synthetic coronary artery models in training of DL model predicting cardiovascular haemodynamic variables
- DOI
- 10.1016/j.cmpb.2026.109694
- Published
- 2027-02
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109694,
title = {Evaluation and optimisation of synthetic coronary artery models in training of DL model predicting cardiovascular haemodynamic variables},
author = {Salwa Alamir and Vincenzo Tufaro and Christos V. Bourantas and Andreas Baumbach and Qianni Zhang and Joseph Jacob and Ryo Torii},
year = {2027},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2026.109694},
url = {https://doi.org/10.1016/j.cmpb.2026.109694}
}RIS
TY - JOUR TI - Evaluation and optimisation of synthetic coronary artery models in training of DL model predicting cardiovascular haemodynamic variables AU - Salwa Alamir AU - Vincenzo Tufaro AU - Christos V. Bourantas AU - Andreas Baumbach AU - Qianni Zhang AU - Joseph Jacob AU - Ryo Torii PY - 2027 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2026.109694 UR - https://doi.org/10.1016/j.cmpb.2026.109694 ER -
APA
Alamir, S., Tufaro, V., Bourantas, C. V., Baumbach, A., Zhang, Q., Jacob, J., & Torii, R. (2027). Evaluation and optimisation of synthetic coronary artery models in training of DL model predicting cardiovascular haemodynamic variables. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109694
Source records
- crossref · retrieved 2026-11-09T22:39:52.435Z