Mr Alexander Weir
- Honorary Research Fellow (School of Cancer Sciences)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar and Clarity help us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Kidd, A. C., Anderson, O., Cowell, G. W. , Weir, A. J., Voisey, J. P., Evison, M., Tsim, S., Goatman, K. A. and Blyth, K. G. (2022) Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria. Thorax, 77(12), pp. 1251-1259. (doi: 10.1136/thoraxjnl-2021-217808) (PMID:35110367)
Tieges, Z. et al. (2020) A smartphone-based test for the assessment of attention deficits in delirium: a case-control diagnostic test accuracy study in older hospitalised patients. PLoS ONE, 15(1), e0227471. (doi: 10.1371/journal.pone.0227471) (PMID:31978127) (PMCID:PMC6980392)
Quinn, T. J. , Livingstone, I., Weir, A., Shaw, R., Breckenridge, A., McAlpine, C. and Tarbert, C. M. (2018) Accuracy and feasibility of an android-based digital assessment tool for post stroke visual disorders - The StrokeVision App. Frontiers in Neurology, 9, 146. (doi: 10.3389/fneur.2018.00146)
Weir, A. J., Sayer, R., Wang, C.-X. and Parks, S. (2015) A Wall-Less Poly(Vinyl Alcohol) Cryogel Flow Phantom with Accurate Scattering Properties for Transcranial Doppler Ultrasound Propagation Channels Analysis. In: EMBC 2015: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, 25-29 Aug 2015, pp. 2709-2712. ISBN 9781424492701 (doi: 10.1109/EMBC.2015.7318951)
Kidd, A. C., Anderson, O., Cowell, G. W. , Weir, A. J., Voisey, J. P., Evison, M., Tsim, S., Goatman, K. A. and Blyth, K. G. (2022) Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria. Thorax, 77(12), pp. 1251-1259. (doi: 10.1136/thoraxjnl-2021-217808) (PMID:35110367)
Tieges, Z. et al. (2020) A smartphone-based test for the assessment of attention deficits in delirium: a case-control diagnostic test accuracy study in older hospitalised patients. PLoS ONE, 15(1), e0227471. (doi: 10.1371/journal.pone.0227471) (PMID:31978127) (PMCID:PMC6980392)
Quinn, T. J. , Livingstone, I., Weir, A., Shaw, R., Breckenridge, A., McAlpine, C. and Tarbert, C. M. (2018) Accuracy and feasibility of an android-based digital assessment tool for post stroke visual disorders - The StrokeVision App. Frontiers in Neurology, 9, 146. (doi: 10.3389/fneur.2018.00146)
Weir, A. J., Sayer, R., Wang, C.-X. and Parks, S. (2015) A Wall-Less Poly(Vinyl Alcohol) Cryogel Flow Phantom with Accurate Scattering Properties for Transcranial Doppler Ultrasound Propagation Channels Analysis. In: EMBC 2015: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, 25-29 Aug 2015, pp. 2709-2712. ISBN 9781424492701 (doi: 10.1109/EMBC.2015.7318951)