# Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hierarchical-organ-aware-total-body-standard-dose-pet-reconstruction-from-low/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jiadong Zhang,Zhiming Cui,Caiwen Jiang,Shanshan Guo,Fei Gao,Dinggang Shen |
| Citations | 30 |
| DOI | 10.1109/tnnls.2023.3266551 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4376121886 |
| PMID | 37159324 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Shanshan Guo](https://scholariq.org/researchers/shanshan-guo/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## 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.