Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-based Simulations.

Krygier, Michael; LaBonte, Tyler; Martinez, Carianne; Norris, Chance Adison; Sharma, Krish; Collins, Lincoln; Mukherjee, Partha P; Roberts, Scott Alan

doi:10.1038/s41467-021-25493-8

Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-based Simulations.

Conference · 01 December 2020

DOI:https://doi.org/10.1038/s41467-021-25493-8· OSTI ID:1835515

Krygier, Michael; LaBonte, Tyler; Martinez, Carianne; Norris, Chance Adison; Sharma, Krish; Collins, Lincoln; Mukherjee, Partha P; Roberts, Scott Alan

Abstract not provided.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

DOE Contract Number:: NA0003525

OSTI ID:: 1835515

Report Number(s):: SAND2020-13614PE; 692777

Resource Relation:: Journal Volume: 12; Journal Issue: 1; Conference: Proposed for presentation at the 2020 Postdoctoral Technical Showcase held December 9-10, 2020 in Albuquerque, NM, United States of America.

Country of Publication:: United States

Language:: English

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