# Bradley J. Erickson

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/bradley-j-erickson/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,247 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 62 |
| i10-index | 207 |
| Last Known Institution | Mayo Clinic |
| OpenAlex ID | https://openalex.org/A5008832314 |
| ORCID iD | https://orcid.org/0000-0001-7926-6095 |
| Works | 439 |

## Researcher papers

- [Association of Maximal Extent of Resection of Contrast-Enhanced and Non–Contrast-Enhanced Tumor With Survival Within Molecular Subgroups of Patients With Newly Diagnosed Glioblastoma](https://scholariq.org/papers/association-of-maximal-extent-of-resection-of-contrast-enhanced-and-non-contrast/)
- [Imaging Classification of Autosomal Dominant Polycystic Kidney Disease](https://scholariq.org/papers/imaging-classification-of-autosomal-dominant-polycystic-kidney-disease/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)

## Researcher university

- [Mayo Clinic](https://scholariq.org/institutions/mayo-clinic/)

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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.