Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks.
W. Zhou, and M. Anastasio. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160D. SPIE, (2020)
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%0 Conference Paper
%1 conf/miipop/ZhouA20
%A Zhou, Weimin
%A Anastasio, Mark A.
%B Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
%D 2020
%E Samuelson, Frank W.
%E Taylor-Phillips, Sian
%I SPIE
%K dblp
%P 113160D
%T Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks.
%U http://dblp.uni-trier.de/db/conf/miipop/miipop2020.html#ZhouA20
%V 11316
%@ 9781510633995
@inproceedings{conf/miipop/ZhouA20,
added-at = {2020-07-22T00:00:00.000+0200},
author = {Zhou, Weimin and Anastasio, Mark A.},
biburl = {https://www.bibsonomy.org/bibtex/2a3761a3a0a5d15b619ff625d15b4524d/dblp},
booktitle = {Medical Imaging: Image Perception, Observer Performance, and Technology Assessment},
crossref = {conf/miipop/2020},
editor = {Samuelson, Frank W. and Taylor-Phillips, Sian},
ee = {https://doi.org/10.1117/12.2549732},
interhash = {42561d5ec7ec586cc1a6a33cb44cdfd4},
intrahash = {a3761a3a0a5d15b619ff625d15b4524d},
isbn = {9781510633995},
keywords = {dblp},
pages = {113160D},
publisher = {SPIE},
series = {SPIE Proceedings},
timestamp = {2020-07-24T01:09:11.000+0200},
title = {Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks.},
url = {http://dblp.uni-trier.de/db/conf/miipop/miipop2020.html#ZhouA20},
volume = 11316,
year = 2020
}