# Thomas C. Booth

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/thomas-c-booth/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,029 |
| Field | Glioma Diagnosis and Treatment |
| h-index | 30 |
| i10-index | 62 |
| Last Known Institution | King's College London |
| OpenAlex ID | https://openalex.org/A5003607819 |
| ORCID iD | 0000-0003-0984-3998 |
| Works | 195 |

## Researcher papers

- [Federated learning enables big data for rare cancer boundary detection](https://scholariq.org/papers/federated-learning-enables-big-data-for-rare-cancer-boundary-detection/)
- [Endovascular Treatment of Stroke Due to Medium-Vessel Occlusion](https://scholariq.org/papers/endovascular-treatment-of-stroke-due-to-medium-vessel-occlusion/)
- [Accurate brain‐age models for routine clinical MRI examinations](https://scholariq.org/papers/accurate-brain-age-models-for-routine-clinical-mri-examinations/)
- [Quantitative imaging biomarkers in neuro-oncology](https://scholariq.org/papers/quantitative-imaging-biomarkers-in-neuro-oncology/)
- [Complications of Continuous Ambulatory Peritoneal Dialysis](https://scholariq.org/papers/complications-of-continuous-ambulatory-peritoneal-dialysis/)
- [Machine learning and glioma imaging biomarkers](https://scholariq.org/papers/machine-learning-and-glioma-imaging-biomarkers/)
- [Incidental findings found in “healthy” volunteers during imaging performed for research: current legal and ethical implications](https://scholariq.org/papers/incidental-findings-found-in-healthy-volunteers-during-imaging-performed-for/)
- [Advanced <scp>MR</scp> Techniques for Preoperative Glioma Characterization: Part 1](https://scholariq.org/papers/advanced-scp-mr-scp-techniques-for-preoperative-glioma-characterization-part-1/)
- [Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis](https://scholariq.org/papers/detection-of-cerebral-aneurysms-using-artificial-intelligence-a-systematic/)
- [High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques](https://scholariq.org/papers/high-grade-glioma-treatment-response-monitoring-biomarkers-a-position-statement/)
- [Clinicians’ perspectives on the use of artificial intelligence to triage MRI brain scans](https://scholariq.org/papers/clinicians-perspectives-on-the-use-of-artificial-intelligence-to-triage-mri/)

## Researcher topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Researcher university

- [King's College London](https://scholariq.org/institutions/king-s-college-london/)

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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.