# Linda Moy

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/linda-moy/

## Facts

| Field | Value |
| --- | --- |
| Citations | 33,018 |
| Field | Radiomics and Machine Learning in Medical Imaging |
| h-index | 68 |
| i10-index | 183 |
| Last Known Institution | Advanced Imaging Research (United States) |
| OpenAlex ID | https://openalex.org/A5054427605 |
| ORCID iD | https://orcid.org/0000-0001-9564-9360 |
| Works | 358 |

## Researcher papers

- [Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)](https://scholariq.org/papers/utility-of-diffusion-weighted-imaging-to-decrease-unnecessary-biopsies-prompted/)

## Researcher topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)

## Researcher university

- [Advanced Imaging Research (United States)](https://scholariq.org/institutions/advanced-imaging-research-united-states/)

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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.