# Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/low-dose-ct-with-a-residual-encoder-decoder-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hu Chen,Yi Zhang,Mannudeep K. Kalra,Feng Lin,Yang Chen,Peixi Liao,Jiliu Zhou,Ge Wang |
| Citations | 1,852 |
| DOI | 10.1109/tmi.2017.2715284 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1702.00288 |
| OpenAlex ID | https://openalex.org/W2584483805 |
| PMID | 28622671 |
| Type | article |
| Year | 2017 |

## 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

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