Muneeza Azmat, Ethan Tu, Kelley R. Branch, Adam M. Alessio. Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information. In Barjor S. Gimi, Andrzej Król, editors, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, Online, February 15-20, 2021. Volume 11600 of SPIE Proceedings, SPIE, 2021. [doi]
@inproceedings{AzmatTBA21,
title = {Machine learned versus analytical models for estimation of fractional flow reserve from CT-derived information},
author = {Muneeza Azmat and Ethan Tu and Kelley R. Branch and Adam M. Alessio},
year = {2021},
doi = {10.1117/12.2581701},
url = {https://doi.org/10.1117/12.2581701},
researchr = {https://researchr.org/publication/AzmatTBA21},
cites = {0},
citedby = {0},
booktitle = {Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, Online, February 15-20, 2021},
editor = {Barjor S. Gimi and Andrzej Król},
volume = {11600},
series = {SPIE Proceedings},
publisher = {SPIE},
isbn = {9781510640306},
}