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Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels
Research article (European Journal of Nuclear Medicine and Molecular Imaging, 2025) · cited 16× · AI/ML
Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels
Summary
Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels is a scholarly article[1].
Key Facts
Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-whole-body-pet-image-denoising-using-3d-diffusion-models-evaluation-across-various-scanners-tracers-and-dose-leve
MLA“Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-whole-body-pet-image-denoising-using-3d-diffusion-models-evaluation-across-various-scanners-tracers-and-dose-leve.
BibTeX@misc{4ortxyz_robust-whole-body-pet-image-denoising-using-3d-diffusion-models-evaluation-across-various-scanners-tracers-and-dose-leve_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels}}, year = {2026}, url = {https://4ort.xyz/entity/robust-whole-body-pet-image-denoising-using-3d-diffusion-models-evaluation-across-various-scanners-tracers-and-dose-leve}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust whole-body PET image denoising using 3D diffusion models: evaluation across various scanners, tracers, and dose levels — https://4ort.xyz/entity/robust-whole-body-pet-image-denoising-using-3d-diffusion-models-evaluation-across-various-scanners-tracers-and-dose-leve (retrieved 2026-05-24)
