Physics-informed model-based generative neural network for synthesizing scanner- and algorithm-specific low-dose CT exams.

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Bibliographic Details
Title: Physics-informed model-based generative neural network for synthesizing scanner- and algorithm-specific low-dose CT exams.
Authors: Gong H; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Yu L; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Leng S; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Hsieh SS; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., Fletcher JG; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA., McCollough CH; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Source: Medical physics [Med Phys] 2025 Jun; Vol. 52 (6), pp. 3940-3958. Date of Electronic Publication: 2025 Feb 13.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2473-4209
DOI:10.1002/mp.17680