Low-Dose Pet Image Reconstruction Using Self-Supervised Deep Kernel Representations Learned from MR
Author:
Affiliation:
1. Monash University,Monash Biomedical Imaging,Clayton,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635795.pdf?arnumber=10635795
Reference11 articles.
1. From simultaneous to synergistic MR‐PET brain imaging: A review of hybrid MR‐PET imaging methodologies
2. PET Image Reconstruction Using Kernel Method
3. Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data
4. Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
5. Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data
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