Grant Mair

Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review

2018 · 295 Zit. · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring

Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence

2022 · 60 Zit. · Stroke

Text mining brain imaging reports

2019 · 46 Zit. · Journal of Biomedical Semantics

A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records

2019 · 41 Zit. · BMC Medical Informatics and Decision Making

External Validation of <scp>e‐ASPECTS</scp> Software for Interpreting Brain CT in Stroke

2022 · 25 Zit. · Annals of Neurology

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports

2023 · 11 Zit. · Frontiers in Digital Health

Accuracy of artificial intelligence software for CT angiography in stroke

2023 · 10 Zit. · Annals of Clinical and Translational Neurology

Evaluating artificial intelligence software for delineating hemorrhage extent on CT brain imaging in stroke

2023 · 8 Zit. · Journal of Stroke and Cerebrovascular Diseases

Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT

2024 · 4 Zit. · Stroke and Vascular Neurology

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging

2023 · 4 Zit. · arXiv (Cornell University)

Prognosis of stroke subtypes in whole population health systems data: a matched cohort study

2026 · 0 Zit. · medRxiv

Clinically reported covert cerebrovascular disease and risk of neurological disease: a whole-population cohort of 367 988 people using natural language processing

2026 · 0 Zit. · Journal of Neurology Neurosurgery & Psychiatry