An AI-Based Solution for Denoising Fast-Acquisition [18F]FDG PET: Clinical Feasibility and Quantitative Assessment
- DOI
- 10.1007/s10278-025-01638-9
- Published
- 2025-08-28
- Container
- Journal of Imaging Informatics in Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-025-01638-9,
title = {An AI-Based Solution for Denoising Fast-Acquisition [18F]FDG PET: Clinical Feasibility and Quantitative Assessment},
author = {Luísa C. Silva and Cláudia S. Constantino and Ricardo Teixeira and Joana C. Castanheira and Francisco P. M. Oliveira and Durval C. Costa},
year = {2025},
journal = {Journal of Imaging Informatics in Medicine},
doi = {10.1007/s10278-025-01638-9},
url = {https://doi.org/10.1007/s10278-025-01638-9}
}RIS
TY - JOUR TI - An AI-Based Solution for Denoising Fast-Acquisition [18F]FDG PET: Clinical Feasibility and Quantitative Assessment AU - Luísa C. Silva AU - Cláudia S. Constantino AU - Ricardo Teixeira AU - Joana C. Castanheira AU - Francisco P. M. Oliveira AU - Durval C. Costa PY - 2025 JO - Journal of Imaging Informatics in Medicine DO - 10.1007/s10278-025-01638-9 UR - https://doi.org/10.1007/s10278-025-01638-9 ER -
APA
Silva, L. C., Constantino, C. S., Teixeira, R., Castanheira, J. C., Oliveira, F. P. M., & Costa, D. C. (2025). An AI-Based Solution for Denoising Fast-Acquisition [18F]FDG PET: Clinical Feasibility and Quantitative Assessment. Journal of Imaging Informatics in Medicine. https://doi.org/10.1007/s10278-025-01638-9
Source records
- crossref · retrieved 2026-09-26T23:13:24.260Z