Thomas C. Booth

Accurate brain‐age models for routine clinical MRI examinations

2022 · 123 Zit. · NeuroImage

Management of incidental findings during imaging research in “healthy” volunteers: current UK practice

2011 · 54 Zit. · British Journal of Radiology

Acting on incidental findings in research imaging

2015 · 42 Zit. · BMJ

Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

2023 · 38 Zit. · Clinical Neuroradiology

Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection

2023 · 7 Zit. · Frontiers in Radiology

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study

2020 · 6 Zit. · Lecture notes in computer science

Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis

2023 · 5 Zit. · Journal of NeuroInterventional Surgery

Clinicians’ perspectives on the use of artificial intelligence to triage MRI brain scans

2025 · 4 Zit. · European Journal of Radiology

NIMG-66. AI-BASED PROGNOSTIC IMAGING BIOMARKERS FOR PRECISION NEUROONCOLOGY AND THE RESPOND CONSORTIUM

2020 · 3 Zit. · Neuro-Oncology

Automated triaging of head MRI examinations using convolutional neural networks

2022 · 2 Zit.

Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?

2024 · 2 Zit. · arXiv (Cornell University)

Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports

2025 · 2 Zit. · European Radiology

Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework         

2024 · 2 Zit.

Letter to the editor: what are the legal and ethical considerations of submitting radiology reports to ChatGPT?

2024 · 1 Zit. · Clinical Radiology

Post-hoc eXplainable AI methods for analyzing medical images of gliomas (— A review for clinical applications)

2025 · 1 Zit. · Computers in Biology and Medicine