Hafan Chevron right Pobl Chevron right Dr Stephen Paisey
Dr Stephen Paisey
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Cyhoeddiad
2025
Warren, F., Paisey, S., Spezi, E., Lai, Y. and Smith, R. 2025. A feature-driven acquisition strategy using scale-invariant descriptors for deep active learning in preclinical CT segmentation . Presented at: 29th Medical Image Understanding and Analysis Conference, Leeds, UK, 15-17 July 2025 Presented at Ali, S., Hogg, D. C. and Peckham, M. eds.Proceedings of MIUA , Vol. 15918. Annual Conference on Medical Image Understanding and Analysis Springer pp. 129-145., (10.1007/978-3-031-98694-9_10 )
Paisey, S. J. et al. 2025. Imaging of human stem cell-derived dopamine grafts correlates with behavioural recovery and reveals microstructural brain changes . Neurobiology of Disease 209, article number: 106910. (10.1016/j.nbd.2025.106910 )
2023
2022
2021
Exner, R. M., Paisey, S. J., Redman, J. E. and Pascu, S. I. 2021. Explorations into peptide nucleic acid contrast agents as emerging scaffolds for breakthrough solutions in medical imaging and diagnosis . ACS Omega 6(43), pp. 28455-28462. (10.1021/acsomega.1c03994 )
Chang, H., Smith, R., Paisey, S., Boutchko, R. and Mitra, D. 2021. Deep learning image transformation under radon transform . Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE pp. 1-3., (10.1109/NSS/MIC42677.2020.9507793 )
Alsyed, E., Smith, R., Paisey, S., Marshall, C. and Spezi, E. 2021. A self organizing map for exploratory analysis of PET radiomic features . Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE, (10.1109/NSS/MIC42677.2020.9507846 )
2020
Fenwick, A. J., Collins, S. M., Evans, W. D., Ferreira, K. M., Paisey, S. J., Robinson, A. P. and Marshall, C. 2020. Absolute standardisation and determination of the half-life and gamma emission intensities of 89Zr . Applied Radiation and Isotopes 166, article number: 109294. (10.1016/j.apradiso.2020.109294 )
Cavaliere, A. et al. 2020. Radiosynthesis of [18F]-labelled pro-nucleotides (ProTides) . Molecules 25(3), article number: 704. (10.3390/molecules25030704 )
2019
Alsyed, E., Smith, R., Marshall, C., Paisey, S. and Spezi, E. 2019. The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study . Presented at: 2019 IEEE NSS-MIC, 26 October - 2 November 2019Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference . IEEE, (10.1109/NSS/MIC42101.2019.9059863 )
Watson, H. A. et al. 2019. L-selectin enhanced T cells improve the efficacy of cancer immunotherapy . Frontiers in Immunology 10, article number: 1321. (10.3389/fimmu.2019.01321 )
Smith, R. L., Ackerley, I. M., Wells, K., Bartley, L., Paisey, S. and Marshall, C. 2019. Reinforcement learning for object detection in PET imaging . Presented at: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Manchester, England, 26 October - 02 November 20192019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE pp. 1-4., (10.1109/NSS/MIC42101.2019.9060031 )
2017
2016
Hughes, E., Bloom, A., Paisey, S. J., Smart, K., Ager, A. and Gallimore, A. M. 2016. Treating metastatic disease through manipulation of regulatory T cells . European Journal of Immunology 46, pp. 578-578., article number: 827. (10.1002/eji.201670200 )
Knight, J. C., Paisey, S. J., Dabkowski, A. M., Marculescu, C., Williams, A. S., Marshall, C. and Cornelissen, B. 2016. Scaling-down antibody radiolabeling reactions with zirconium-89 . Dalton Transactions 45(15), pp. 6343-6347. (10.1039/C5DT04774A )
2015
Dabkowski, A. M., Paisey, S. J., Talboys, M. and Marshall, C. 2015. Optimization of cyclotron production for radiometal of Zirconium 89 . Acta Physica Polonica Series A 127(5), pp. 1479-1482. (10.12693/APhysPolA.127.1479 )
Koehoorn, J. et al. 2015. Automated digital hair removal by threshold decomposition and morphological analysis . Presented at: International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2015), Reykjavik, Iceland, 27-29 May 2015 Presented at Benediktsson, J. A. et al. eds.Mathematical Morphology and Its Applications to Signal and Image Processing , Vol. 9082. Lecture Notes in Computer Science (LNCS) Springer pp. 15-26., (10.1007/978-3-319-18720-4_2 )
2014
2012
2011
Knight, J. C., Hallett, A. J., Brancale, A., Paisey, S. J., Clarkson, R. W. E. and Edwards, P. G. 2011. Evaluation of a fluorescent derivative of AMD3100 and its interaction with the CXCR4 chemokine receptor . ChemBioChem 12(17), pp. 2692-2698. (10.1002/cbic.201100441 )
Knight, J. C., Edwards, P. G. and Paisey, S. J. 2011. Fluorinated contrast agents for magnetic resonance imaging; a review of recent developments . RSC Advances 1(8), pp. 1415-1425. (10.1039/c1ra00627d )
Articles
Paisey, S. J. et al. 2025. Imaging of human stem cell-derived dopamine grafts correlates with behavioural recovery and reveals microstructural brain changes . Neurobiology of Disease 209, article number: 106910. (10.1016/j.nbd.2025.106910 )
Cattaneo, M. et al. 2023. The longevity-associated BPIFB4 gene supports cardiac function and vascularization in ageing cardiomyopathy . Cardiovascular Research 119(7), pp. 1583-1595. (10.1093/cvr/cvad008 )
Knight, R. et al. 2022. Oral progenitor cell line-derived small extracellular vesicles as a treatment for preferential wound healing outcome . Stem Cells Translational Medicine 11(8), pp. 861-875. (10.1093/stcltm/szac037 )
Exner, R. M., Paisey, S. J., Redman, J. E. and Pascu, S. I. 2021. Explorations into peptide nucleic acid contrast agents as emerging scaffolds for breakthrough solutions in medical imaging and diagnosis . ACS Omega 6(43), pp. 28455-28462. (10.1021/acsomega.1c03994 )
Fenwick, A. J., Collins, S. M., Evans, W. D., Ferreira, K. M., Paisey, S. J., Robinson, A. P. and Marshall, C. 2020. Absolute standardisation and determination of the half-life and gamma emission intensities of 89Zr . Applied Radiation and Isotopes 166, article number: 109294. (10.1016/j.apradiso.2020.109294 )
Cavaliere, A. et al. 2020. Radiosynthesis of [18F]-labelled pro-nucleotides (ProTides) . Molecules 25(3), article number: 704. (10.3390/molecules25030704 )
Watson, H. A. et al. 2019. L-selectin enhanced T cells improve the efficacy of cancer immunotherapy . Frontiers in Immunology 10, article number: 1321. (10.3389/fimmu.2019.01321 )
Trueman, R. C. et al. 2017. Systematic and detailed analysis of behavioural tests in the rat middle cerebral artery occlusion model of stroke: tests for long-term assessment . Journal of Cerebral Blood Flow and Metabolism 37(4), pp. 1349-1361. (10.1177/0271678X16654921 )
Hughes, E., Bloom, A., Paisey, S. J., Smart, K., Ager, A. and Gallimore, A. M. 2016. Treating metastatic disease through manipulation of regulatory T cells . European Journal of Immunology 46, pp. 578-578., article number: 827. (10.1002/eji.201670200 )
Knight, J. C., Paisey, S. J., Dabkowski, A. M., Marculescu, C., Williams, A. S., Marshall, C. and Cornelissen, B. 2016. Scaling-down antibody radiolabeling reactions with zirconium-89 . Dalton Transactions 45(15), pp. 6343-6347. (10.1039/C5DT04774A )
Dabkowski, A. M., Paisey, S. J., Talboys, M. and Marshall, C. 2015. Optimization of cyclotron production for radiometal of Zirconium 89 . Acta Physica Polonica Series A 127(5), pp. 1479-1482. (10.12693/APhysPolA.127.1479 )
Evans, B. A. J. et al. 2014. Preclinical assessment of a new magnetic resonance-based technique for determining bone quality by characterization of trabecular microarchitecture . Calcified Tissue International 95(6), pp. 506-520. (10.1007/s00223-014-9922-z )
Kalogerou, M. et al. 2012. T2 weighted MRI for assessing renal lesions in transgenic mouse models of tuberous sclerosis . European Journal of Radiology 81(9), pp. 2069-2074. (10.1016/j.ejrad.2011.06.054 )
Knight, J. C., Hallett, A. J., Brancale, A., Paisey, S. J., Clarkson, R. W. E. and Edwards, P. G. 2011. Evaluation of a fluorescent derivative of AMD3100 and its interaction with the CXCR4 chemokine receptor . ChemBioChem 12(17), pp. 2692-2698. (10.1002/cbic.201100441 )
Knight, J. C., Edwards, P. G. and Paisey, S. J. 2011. Fluorinated contrast agents for magnetic resonance imaging; a review of recent developments . RSC Advances 1(8), pp. 1415-1425. (10.1039/c1ra00627d )
Conferences
Warren, F., Paisey, S., Spezi, E., Lai, Y. and Smith, R. 2025. A feature-driven acquisition strategy using scale-invariant descriptors for deep active learning in preclinical CT segmentation . Presented at: 29th Medical Image Understanding and Analysis Conference, Leeds, UK, 15-17 July 2025 Presented at Ali, S., Hogg, D. C. and Peckham, M. eds.Proceedings of MIUA , Vol. 15918. Annual Conference on Medical Image Understanding and Analysis Springer pp. 129-145., (10.1007/978-3-031-98694-9_10 )
Chang, H., Smith, R., Paisey, S., Boutchko, R. and Mitra, D. 2021. Deep learning image transformation under radon transform . Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE pp. 1-3., (10.1109/NSS/MIC42677.2020.9507793 )
Alsyed, E., Smith, R., Paisey, S., Marshall, C. and Spezi, E. 2021. A self organizing map for exploratory analysis of PET radiomic features . Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE, (10.1109/NSS/MIC42677.2020.9507846 )
Alsyed, E., Smith, R., Marshall, C., Paisey, S. and Spezi, E. 2019. The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study . Presented at: 2019 IEEE NSS-MIC, 26 October - 2 November 2019Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference . IEEE, (10.1109/NSS/MIC42101.2019.9059863 )
Smith, R. L., Ackerley, I. M., Wells, K., Bartley, L., Paisey, S. and Marshall, C. 2019. Reinforcement learning for object detection in PET imaging . Presented at: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Manchester, England, 26 October - 02 November 20192019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) . IEEE pp. 1-4., (10.1109/NSS/MIC42101.2019.9060031 )
Koehoorn, J. et al. 2015. Automated digital hair removal by threshold decomposition and morphological analysis . Presented at: International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2015), Reykjavik, Iceland, 27-29 May 2015 Presented at Benediktsson, J. A. et al. eds.Mathematical Morphology and Its Applications to Signal and Image Processing , Vol. 9082. Lecture Notes in Computer Science (LNCS) Springer pp. 15-26., (10.1007/978-3-319-18720-4_2 )
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