# Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/computational-approach-to-radiogenomics-of-breast-cancer-luminal-a-and-luminal-b/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lars J. Grimm,Jing Zhang,Maciej A. Mazurowski |
| Citations | 156 |
| DOI | 10.1002/jmri.24879 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.24879 |
| OpenAlex ID | https://openalex.org/W2115498751 |
| PMID | 25777181 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Lars J. Grimm](https://scholariq.org/researchers/lars-j-grimm/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

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

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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.