# Bjoern Menze

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/bjoern-menze/

## Facts

| Field | Value |
| --- | --- |
| Citations | 26,754 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 63 |
| i10-index | 260 |
| Last Known Institution | University of Zurich |
| OpenAlex ID | https://openalex.org/A5002068604 |
| ORCID iD | https://orcid.org/0000-0003-4136-5690 |
| Works | 620 |

## Researcher papers

- [The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)](https://scholariq.org/papers/the-multimodal-brain-tumor-image-segmentation-benchmark-brats/)
- [ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI](https://scholariq.org/papers/isles-2015-a-public-evaluation-benchmark-for-ischemic-stroke-lesion-segmentation/)
- [Metrics reloaded: recommendations for image analysis validation](https://scholariq.org/papers/metrics-reloaded-recommendations-for-image-analysis-validation/)
- [Why rankings of biomedical image analysis competitions should be interpreted with care](https://scholariq.org/papers/why-rankings-of-biomedical-image-analysis-competitions-should-be-interpreted/)
- [Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution](https://scholariq.org/papers/predicting-lymph-node-metastasis-using-histopathological-images-based-on/)
- [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/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)

## Researcher university

- [University of Zurich](https://scholariq.org/institutions/university-of-zurich/)

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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.