Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks.

Authors:
Zhou W; Villa U; Anastasio MA.

Journal:
IEEE Trans Med Imaging

Publication Year: 2023

DOI:
10.1109/TMI.2023.3304907

PMCID:
PMC10769588

PMID:
37578916

View on PubMed View on PMC View Publisher
Journal Information

Full Title: IEEE Trans Med Imaging

Abbreviation: IEEE Trans Med Imaging

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"the progans were trained by use of the publicly available progan code ( https://github com/tkarras/progressive_growing_of_gans )."

COI Disclosure
Evidence found in paper:

"This work was supported in part by NIH Awards under Grant EB031772 (subproject 6366) and Grant EB031585."

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Last Updated: Aug 05, 2025