Uncertainty quantification of TMS simulation considering MRI segmentation error
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Elsevier
2021
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oai:doaj.org-article:8bb9de0fab51403eae94298164701eab2021-11-20T04:59:24ZUncertainty quantification of TMS simulation considering MRI segmentation error1935-861X10.1016/j.brs.2021.10.090https://doaj.org/article/8bb9de0fab51403eae94298164701eab2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1935861X21003363https://doaj.org/toc/1935-861XHao ZhangJohann GuilleminotLuis GomezElsevierarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Stimulation, Vol 14, Iss 6, Pp 1615-1616 (2021) |
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DOAJ |
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DOAJ |
language |
EN |
topic |
Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Hao Zhang Johann Guilleminot Luis Gomez Uncertainty quantification of TMS simulation considering MRI segmentation error |
format |
article |
author |
Hao Zhang Johann Guilleminot Luis Gomez |
author_facet |
Hao Zhang Johann Guilleminot Luis Gomez |
author_sort |
Hao Zhang |
title |
Uncertainty quantification of TMS simulation considering MRI segmentation error |
title_short |
Uncertainty quantification of TMS simulation considering MRI segmentation error |
title_full |
Uncertainty quantification of TMS simulation considering MRI segmentation error |
title_fullStr |
Uncertainty quantification of TMS simulation considering MRI segmentation error |
title_full_unstemmed |
Uncertainty quantification of TMS simulation considering MRI segmentation error |
title_sort |
uncertainty quantification of tms simulation considering mri segmentation error |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/8bb9de0fab51403eae94298164701eab |
work_keys_str_mv |
AT haozhang uncertaintyquantificationoftmssimulationconsideringmrisegmentationerror AT johannguilleminot uncertaintyquantificationoftmssimulationconsideringmrisegmentationerror AT luisgomez uncertaintyquantificationoftmssimulationconsideringmrisegmentationerror |
_version_ |
1718419671746609152 |