# MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/magic-manifold-and-graph-integrative-convolutional-network-for-low-dose-ct/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wenjun Xia,Zexin Lu,Yongqiang Huang,Zuoqiang Shi,Yan Liu,Hu Chen,Yang Chen,Jiliu Zhou,Yi Zhang |
| Citations | 113 |
| DOI | 10.1109/tmi.2021.3088344 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3172797549 |
| PMID | 34110990 |
| Type | article |
| Year | 2021 |

## Paper authors

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

## 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/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-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.