Adrien Touboul, Fedi Zouari, Luca Minciullo, Dipyaman Modak, Raymond M. V. Lee, Eddie C. Wong, Man-Fung Yuen, Wai-Kay Seto, Lung-Yi Mak, Russell W. Chan. Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022. pages 576-579, IEEE, 2022. [doi]
@inproceedings{TouboulZMMLWYSM22,
title = {Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study},
author = {Adrien Touboul and Fedi Zouari and Luca Minciullo and Dipyaman Modak and Raymond M. V. Lee and Eddie C. Wong and Man-Fung Yuen and Wai-Kay Seto and Lung-Yi Mak and Russell W. Chan},
year = {2022},
doi = {10.1109/EMBC48229.2022.9871313},
url = {https://doi.org/10.1109/EMBC48229.2022.9871313},
researchr = {https://researchr.org/publication/TouboulZMMLWYSM22},
cites = {0},
citedby = {0},
pages = {576-579},
booktitle = {44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022},
publisher = {IEEE},
isbn = {978-1-7281-2782-8},
}