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Title: X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1550744
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Journal Volume: 25; Journal Issue: S2; Conference: Microscopy and Microanalysis 2019 - Portland, Oregon, United States of America - 8/4/2019 12:00:00 PM-8/8/2019 12:00:00 PM
Country of Publication:
United States
Language:
English

Citation Formats

Ziabari, Amir, Kirka, Michael, Paquit, Vincent, Bingham, Philip, and Venkatakrishnan, Singanallur. X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR. United States: N. p., 2019. Web. doi:10.1017/S1431927619002617.
Ziabari, Amir, Kirka, Michael, Paquit, Vincent, Bingham, Philip, & Venkatakrishnan, Singanallur. X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR. United States. doi:10.1017/S1431927619002617.
Ziabari, Amir, Kirka, Michael, Paquit, Vincent, Bingham, Philip, and Venkatakrishnan, Singanallur. Thu . "X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR". United States. doi:10.1017/S1431927619002617. https://www.osti.gov/servlets/purl/1550744.
@article{osti_1550744,
title = {X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR},
author = {Ziabari, Amir and Kirka, Michael and Paquit, Vincent and Bingham, Philip and Venkatakrishnan, Singanallur},
abstractNote = {},
doi = {10.1017/S1431927619002617},
journal = {},
issn = {1431--9276},
number = S2,
volume = 25,
place = {United States},
year = {2019},
month = {8}
}

Conference:
Other availability
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