Jess D. Tate, Wilson W. Good, Nejib Zemzemi, Machteld Boonstra, Peter M. van Dam, Dana H. Brooks, Akil Narayan 0001, Rob S. MacLeod. Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. In Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang, editors, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings. Volume 12738 of Lecture Notes in Computer Science, pages 515-522, Springer, 2021. [doi]
@inproceedings{TateGZBDB0M21,
title = {Uncertainty Quantification of the Effects of Segmentation Variability in ECGI},
author = {Jess D. Tate and Wilson W. Good and Nejib Zemzemi and Machteld Boonstra and Peter M. van Dam and Dana H. Brooks and Akil Narayan 0001 and Rob S. MacLeod},
year = {2021},
doi = {10.1007/978-3-030-78710-3_49},
url = {https://doi.org/10.1007/978-3-030-78710-3_49},
researchr = {https://researchr.org/publication/TateGZBDB0M21},
cites = {0},
citedby = {0},
pages = {515-522},
booktitle = {Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings},
editor = {Daniel B. Ennis and Luigi E. Perotti and Vicky Y. Wang},
volume = {12738},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-78710-3},
}