# Machine learning and glioma imaging biomarkers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-and-glioma-imaging-biomarkers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thomas C. Booth,Matthew Williams,Aysha Luis,M. Jorge Cardoso,K. Ashkan,Haris Shuaib |
| Citations | 101 |
| DOI | 10.1016/j.crad.2019.07.001 |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://www.clinicalradiologyonline.net/article/S0009926019303137/pdf |
| OpenAlex ID | https://openalex.org/W2965286438 |
| PMID | 31371027 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Thomas C. Booth](https://scholariq.org/researchers/thomas-c-booth/)

## Paper journal

- [Clinical Radiology](https://scholariq.org/journals/clinical-radiology/)

## 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/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.