TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms

Author:

Cui Jiaqi,Zeng Pinxian,Zeng Xinyi,Wang Peng,Wu Xi,Zhou Jiliu,Wang Yan,Shen Dinggang

Publisher

Springer Nature Switzerland

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Metal implant segmentation in CT images based on diffusion model;BMC Medical Imaging;2024-08-06

2. Enhancing Coincidence Time Resolution of PET detectors using short-time Fourier transform and residual neural network;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-08

3. D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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