# Nikos Paragios

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/nikos-paragios/

## Facts

| Field | Value |
| --- | --- |
| Citations | 21,310 |
| Field | Medical Image Segmentation Techniques |
| h-index | 65 |
| i10-index | 197 |
| Last Known Institution | Université Paris-Saclay |
| OpenAlex ID | https://openalex.org/A5077223134 |
| ORCID iD | https://orcid.org/0000-0002-9668-4763 |
| Works | 477 |

## Researcher papers

- [AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia](https://scholariq.org/papers/ai-driven-quantification-staging-and-outcome-prediction-of-covid-19-pneumonia/)

## Researcher topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)

## Researcher university

- [Université Paris-Saclay](https://scholariq.org/institutions/universite-paris-saclay/)

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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.