# Ben Glocker

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ben-glocker/

## Facts

| Field | Value |
| --- | --- |
| Citations | 47,185 |
| Field | Medical Image Segmentation Techniques |
| h-index | 78 |
| i10-index | 252 |
| Last Known Institution | Institute of Group Analysis |
| OpenAlex ID | https://openalex.org/A5007222325 |
| ORCID iD | https://orcid.org/0000-0002-4897-9356 |
| Works | 563 |

## Researcher papers

- [The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)](https://scholariq.org/papers/the-multimodal-brain-tumor-image-segmentation-benchmark-brats/)
- [Automated cardiovascular magnetic resonance image analysis with fully convolutional networks](https://scholariq.org/papers/automated-cardiovascular-magnetic-resonance-image-analysis-with-fully/)
- [Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI](https://scholariq.org/papers/reporting-guideline-for-the-early-stage-clinical-evaluation-of-decision-support/)
- [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/)
- [Case-mix, care pathways, and outcomes in patients with traumatic brain injury in CENTER-TBI: a European prospective, multicentre, longitudinal, cohort study](https://scholariq.org/papers/case-mix-care-pathways-and-outcomes-in-patients-with-traumatic-brain-injury-in/)
- [Metrics reloaded: recommendations for image analysis validation](https://scholariq.org/papers/metrics-reloaded-recommendations-for-image-analysis-validation/)
- [FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare](https://scholariq.org/papers/future-ai-international-consensus-guideline-for-trustworthy-and-deployable/)
- [Understanding metric-related pitfalls in image analysis validation](https://scholariq.org/papers/understanding-metric-related-pitfalls-in-image-analysis-validation/)

## 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/)
- [Traumatic Brain Injury and Neurovascular Disturbances](https://scholariq.org/topics/traumatic-brain-injury-and-neurovascular-disturbances-2/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Researcher university

- [Institute of Group Analysis](https://scholariq.org/institutions/institute-of-group-analysis/)

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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.