# MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mri-based-machine-learning-radiomics-can-predict-her2-expression-level-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Almir Galvão Vieira Bitencourt,Peter Gibbs,Carolina Rossi Saccarelli,Isaac Daimiel Naranjo,Roberto Lo Gullo,Michael J. Fox,Sunitha B. Thakur,Katja Pinker,Elizabeth A. Morris,Monica Morrow,Maxine S. Jochelson |
| Citations | 169 |
| DOI | 10.1016/j.ebiom.2020.103042 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.thelancet.com/article/S2352396420304187/pdf |
| OpenAlex ID | https://openalex.org/W3092302824 |
| PMID | 33039708 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Monica Morrow](https://scholariq.org/researchers/monica-morrow/)

## Paper journal

- [EBioMedicine](https://scholariq.org/journals/ebiomedicine/)

## 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/)
- [HER2/EGFR in Cancer Research](https://scholariq.org/topics/her2-egfr-in-cancer-research/)

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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.