# Spatial adaptive and transformer fusion network (STFNet) for low‐count PET blind denoising with MRI

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/spatial-adaptive-and-transformer-fusion-network-stfnet-for-low-count-pet-blind/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lipei Zhang,Zizheng Xiao,Chao Zhou,Jianmin Yuan,Qiang He,Yongfeng Yang,Xin Liu,Dong Liang,Hairong Zheng,Wei Fan,Xu Zhang,Zhanli Hu |
| Citations | 43 |
| DOI | 10.1002/mp.15368 |
| Fields | Computer Science,Medicine,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3211988735 |
| PMID | 34796526 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Qiang He](https://scholariq.org/researchers/qiang-he/)

## Paper primary topic

- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)

## Paper topics

- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Radiation Detection and Scintillator Technologies](https://scholariq.org/topics/radiation-detection-and-scintillator-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.