Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models
- DOI
- 10.1109/temc.2021.3106872
- Published
- 2021-10
- Container
- IEEE Transactions on Electromagnetic Compatibility
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/temc.2021.3106872,
title = {Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models},
author = {Jasmine Vu and Bach T. Nguyen and Bhumi Bhusal and Justin Baraboo and Joshua Rosenow and Ulas Bagci and Molly G. Bright and Laleh Golestanirad},
year = {2021},
journal = {IEEE Transactions on Electromagnetic Compatibility},
doi = {10.1109/temc.2021.3106872},
url = {https://doi.org/10.1109/temc.2021.3106872}
}RIS
TY - JOUR TI - Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models AU - Jasmine Vu AU - Bach T. Nguyen AU - Bhumi Bhusal AU - Justin Baraboo AU - Joshua Rosenow AU - Ulas Bagci AU - Molly G. Bright AU - Laleh Golestanirad PY - 2021 JO - IEEE Transactions on Electromagnetic Compatibility DO - 10.1109/temc.2021.3106872 UR - https://doi.org/10.1109/temc.2021.3106872 ER -
APA
Vu, J., Nguyen, B. T., Bhusal, B., Baraboo, J., Rosenow, J., Bagci, U., Bright, M. G., & Golestanirad, L. (2021). Machine Learning-Based Prediction of MRI-Induced Power Absorption in the Tissue in Patients With Simplified Deep Brain Stimulation Lead Models. IEEE Transactions on Electromagnetic Compatibility. https://doi.org/10.1109/temc.2021.3106872
Source records
- crossref · retrieved 2026-09-25T14:58:07.113Z