Grant Mair
Orcid: 0000-0003-2189-443X
According to our database1,
Grant Mair
authored at least 8 papers
between 2018 and 2023.
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Bibliography
2023
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.
Frontiers Digit. Health, March, 2023
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.
CoRR, 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images.
CoRR, 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.
Proceedings of the International Conference on Machine Learning, 2023
2022
A Comparison of Cranial Cavity Extraction Tools for Non-contrast Enhanced CT Scans in Acute Stroke Patients.
Neuroinformatics, 2022
2019
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.
BMC Medical Informatics Decis. Mak., 2019
2018
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis.
CoRR, 2018