# Radiomics and Machine Learning in Medical Imaging

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 794,057 |
| Description | This cluster of papers focuses on the application of radiomics, a quantitative analysis of medical images, particularly in the context of cancer imaging and precision medicine. It explores the extraction of advanced features from medical images, the use of machine learning for predictive modeling, and the assessment of tumor heterogeneity through texture analysis. |
| Domain | Health Sciences |
| Field | Medicine |
| OpenAlex ID | https://openalex.org/T12422 |
| Works | 128,347 |

## Topic researchers

Showing 12 of 20.

- [David Moher](https://scholariq.org/researchers/david-moher/)
- [Douglas G. Altman](https://scholariq.org/researchers/douglas-g-altman/)
- [Ahmedin Jemal](https://scholariq.org/researchers/ahmedin-jemal/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Robert Tibshirani](https://scholariq.org/researchers/robert-tibshirani/)
- [Bert Vogelstein](https://scholariq.org/researchers/bert-vogelstein/)
- [Gad Getz](https://scholariq.org/researchers/gad-getz/)
- [Hermann Brenner](https://scholariq.org/researchers/hermann-brenner/)
- [John P. A. Ioannidis](https://scholariq.org/researchers/john-p-a-ioannidis/)
- [Karl Friston](https://scholariq.org/researchers/karl-friston/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Lesley Stewart](https://scholariq.org/researchers/lesley-stewart/)

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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.