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.
Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach\(^\mbox*\) [link]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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