# COVID-19 infection localization and severity grading from chest X-ray images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/covid-19-infection-localization-and-severity-grading-from-chest-x-ray-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anas Tahir,Muhammad E. H. Chowdhury,Amith Khandakar,Tawsifur Rahman,Yazan Qiblawey,Uzair Khurshid,Kiranyaz, Mustafa Serkan,Nabil Ibtehaz,Mirzanur Rahman,Somaya Al-Máadeed,Sakib Mahmud,Maymouna Ezeddin,Khaled Hameed,Tahir Hamid |
| Citations | 197 |
| DOI | 10.1016/j.compbiomed.2021.105002 |
| Fields | Dentistry,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3211191383 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Muhammad E. H. Chowdhury](https://scholariq.org/researchers/muhammad-e-h-chowdhury/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Dental Research and COVID-19](https://scholariq.org/topics/dental-research-and-covid-19/)

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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.