Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach\(^\mbox*\). Zheng, C., Chen, X., Nguyen, B. T., Sanpitak, P., Vu, J., Bagci, U., & Golestanirad, L. In 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021, pages 4204–4208, 2021. Paper doi bibtex @inproceedings{DBLP:conf/embc/ZhengCNSVBG21,
author = {Can Zheng and
Xinlu Chen and
Bach Thanh Nguyen and
Pia Sanpitak and
Jasmine Vu and
Ulas Bagci and
Laleh Golestanirad},
title = {Predicting {RF} Heating of Conductive Leads During Magnetic Resonance
Imaging at 1.5 {T:} {A} Machine Learning Approach\({}^{\mbox{*}}\)},
booktitle = {43rd Annual International Conference of the {IEEE} Engineering in
Medicine {\&} Biology Society, {EMBC} 2021, Mexico, November 1-5,
2021},
pages = {4204--4208},
year = {2021},
crossref = {DBLP:conf/embc/2021},
url = {https://doi.org/10.1109/EMBC46164.2021.9630718},
doi = {10.1109/EMBC46164.2021.9630718},
timestamp = {Wed, 22 Dec 2021 13:55:55 +0100},
biburl = {https://dblp.org/rec/conf/embc/ZhengCNSVBG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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