# Fabian Isensee

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/fabian-isensee/

## Facts

| Field | Value |
| --- | --- |
| Citations | 16,944 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 39 |
| i10-index | 79 |
| Last Known Institution | German Cancer Research Center |
| OpenAlex ID | https://openalex.org/A5072647800 |
| ORCID iD | https://orcid.org/0000-0002-3519-5886 |
| Works | 200 |

## Researcher papers

- [Metrics reloaded: recommendations for image analysis validation](https://scholariq.org/papers/metrics-reloaded-recommendations-for-image-analysis-validation/)
- [Understanding metric-related pitfalls in image analysis validation](https://scholariq.org/papers/understanding-metric-related-pitfalls-in-image-analysis-validation/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Researcher university

- [German Cancer Research Center](https://scholariq.org/institutions/german-cancer-research-center/)

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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.