# Ralph T. H. Leijenaar

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ralph-t-h-leijenaar/

## Facts

| Field | Value |
| --- | --- |
| Citations | 28,791 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 47 |
| i10-index | 67 |
| Last Known Institution | Maastricht University |
| OpenAlex ID | https://openalex.org/A5055844896 |
| ORCID iD | https://orcid.org/0000-0001-8642-9657 |
| Works | 141 |

## Researcher papers

- [Radiomics: Extracting more information from medical images using advanced feature analysis](https://scholariq.org/papers/radiomics-extracting-more-information-from-medical-images-using-advanced-feature/)
- [Radiomics: the bridge between medical imaging and personalized medicine](https://scholariq.org/papers/radiomics-the-bridge-between-medical-imaging-and-personalized-medicine/)
- [Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach](https://scholariq.org/papers/decoding-tumour-phenotype-by-noninvasive-imaging-using-a-quantitative-radiomics/)
- [Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability](https://scholariq.org/papers/stability-of-fdg-pet-radiomics-features-an-integrated-analysis-of-test-retest/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [Maastricht University](https://scholariq.org/institutions/maastricht-university/)

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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.