Francois Charih, Matthew Bromwich, Renee Lefrancois, Amy E. Mark, James R. Green. Mining Audiograms to Improve the Interpretability of Automated Audiometry Measurements. In 2018 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018, Rome, Italy, June 11-13, 2018. pages 1-6, IEEE, 2018. [doi]
@inproceedings{CharihBLMG18,
title = {Mining Audiograms to Improve the Interpretability of Automated Audiometry Measurements},
author = {Francois Charih and Matthew Bromwich and Renee Lefrancois and Amy E. Mark and James R. Green},
year = {2018},
doi = {10.1109/MeMeA.2018.8438746},
url = {https://doi.org/10.1109/MeMeA.2018.8438746},
researchr = {https://researchr.org/publication/CharihBLMG18},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {2018 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2018, Rome, Italy, June 11-13, 2018},
publisher = {IEEE},
isbn = {978-1-5386-3392-2},
}