# Ritse M. Mann

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ritse-m-mann/

## Facts

| Field | Value |
| --- | --- |
| Citations | 17,812 |
| Field | AI in cancer detection |
| h-index | 68 |
| i10-index | 175 |
| Last Known Institution | Radboud University Nijmegen |
| OpenAlex ID | https://openalex.org/A5073381909 |
| ORCID iD | https://orcid.org/0000-0001-8111-1930 |
| Works | 399 |

## Researcher papers

- [Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists](https://scholariq.org/papers/stand-alone-artificial-intelligence-for-breast-cancer-detection-in-mammography/)
- [Contrast-enhanced spectral mammography vs. mammography and MRI – clinical performance in a multi-reader evaluation](https://scholariq.org/papers/contrast-enhanced-spectral-mammography-vs-mammography-and-mri-clinical/)
- [Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study](https://scholariq.org/papers/can-we-reduce-the-workload-of-mammographic-screening-by-automatic-identification/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Digital Radiography and Breast Imaging](https://scholariq.org/topics/digital-radiography-and-breast-imaging/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)

## Researcher university

- [Radboud University Nijmegen](https://scholariq.org/institutions/radboud-university-nijmegen/)

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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.