# LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learn-learned-experts-assessment-based-reconstruction-network-for-sparse-data-ct/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hu Chen,Yi Zhang,Yunjin Chen,Junfeng Zhang,Weihua Zhang,Huaiqiang Sun,Yang Lv,Peixi Liao,Jiliu Zhou,Ge Wang |
| Citations | 443 |
| DOI | 10.1109/tmi.2018.2805692 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6019143 |
| OpenAlex ID | https://openalex.org/W2793419304 |
| PMID | 29870363 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Hu Chen](https://scholariq.org/researchers/hu-chen/)

## Paper primary topic

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

## Paper topics

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Radiation Dose and Imaging](https://scholariq.org/topics/radiation-dose-and-imaging/)

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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.