A Noise-Level-Aware Framework for PET Image Denoising
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-17247-2_8
Reference15 articles.
1. Gong, K., et al.: PET image denoising using a deep neural network through fine tuning. IEEE Trans. Radiat. Plasma Med. Sci. 3(2), 153–161 (2019)
2. Dutta, J., Leahy, R.M., Li, Q.: Non-local means denoising of dynamic PET images. PLoS ONE 8(12), e81390 (2013)
3. Chan, C., et al.: Postreconstruction nonlocal means filtering of whole-body PET with an anatomical prior. IEEE Trans. Med. Imaging 33(3), 636–650 (2014)
4. Cui, J., et al.: PET image denoising using unsupervised deep learning. Eur. J. Nucl. Med. Mol. Imaging 46(13), 2780–2789 (2019). https://doi.org/10.1007/s00259-019-04468-4
5. Ouyang, J.H., et al.: Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss. Med. Phys. 46(8), 3555–3564 (2019)
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