# AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-driven-quantification-staging-and-outcome-prediction-of-covid-19-pneumonia/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guillaume Chassagnon,Maria Vakalopoulou,Enzo Battistella,Stergios Christodoulidis,Trieu-Nghi Hoang-Thi,Séverine Dangeard,Éric Deutsch,Fabrice André,Enora Guillo,Nara Halm,Stefany El Hajj,Florian Bompard,Sophie Neveü,Chahinez Hani,Inès Saab,Aliénor Campredon,Hasmik Koulakian,Souhail Bennani,Gaël Freche,Maxime Barat,Aurélien Lombard,Laure Fournier,Hippolyte Monnier,Téodor Grand,Jules Grégory,Yann Nguyen,Antoine Khalil,Elyas Mahdjoub,Pierre‐Yves Brillet,Stéphane Tran Ba,Valérie Bousson,Ahmed Mekki,Robert-Yves Carlier,Marie‐Pierre Revel,Nikos Paragios |
| Citations | 158 |
| DOI | 10.1016/j.media.2020.101860 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/am/pii/S1361841520302243?via%3Dihub |
| OpenAlex ID | https://openalex.org/W3093455605 |
| PMID | 33171345 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yann Nguyen](https://scholariq.org/researchers/yann-nguyen/)

## 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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.