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Title: Extreme Few-view CT Reconstruction using Deep Inference

Authors:
 [1];  [1];  [1];  [1]
  1. Lawrence Livermore National Laboratory
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1579605
Report Number(s):
LLNL-CONF-791857
987666
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Vancouver, null, Canada
Country of Publication:
United States
Language:
English
Subject:
Computer science

Citation Formats

Kim, H, Anirudh, R, Mohan, K A, and Champley, K. Extreme Few-view CT Reconstruction using Deep Inference. United States: N. p., 2019. Web.
Kim, H, Anirudh, R, Mohan, K A, & Champley, K. Extreme Few-view CT Reconstruction using Deep Inference. United States.
Kim, H, Anirudh, R, Mohan, K A, and Champley, K. Sun . "Extreme Few-view CT Reconstruction using Deep Inference". United States. https://www.osti.gov/servlets/purl/1579605.
@article{osti_1579605,
title = {Extreme Few-view CT Reconstruction using Deep Inference},
author = {Kim, H and Anirudh, R and Mohan, K A and Champley, K},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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