Dr Rhodri Smith

2023

• Alsyed, E., Smith, R., Bartley, L., Marshall, C. and Spezi, E. 2023. A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings. Frontiers in Nuclear Medicine 3 (10.3389/fnume.2023.1078536)

2021

• 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)
• Smith, R. L., Chandler, H., Alsyed, E., Bartley, L., Fielding, P. and Marshall, C. 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. 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/MIC42677.2020.9507980)

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 20192019 IEEE NSS-MIC. IEEE
• Smith, R., Dasari, P., Lindsay, C., King, M. and Wells, K. 2019. Dense motion propagation from sparse samples. Physics in Medicine and Biology 64(20), article number: 205023. (10.1088/1361-6560/ab41a0)
• Ackerley, I. et al. 2019. Using deep learning to detect esophageal lesions in PET-CT scans. Presented at: SPIE Medical Imaging 2019, San Diego, California, USA, 16-21 February 2019 Presented at Gimi, B. and Krol, A. eds.Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging. SPIE, (10.1117/12.2511738)
• 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)
• Ackerley, I. et al. 2019. Can deep learning detect esophageal lesions in PET-CT scans?. 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/MIC42101.2019.9059833)

2018

• Smith, R., Rahni, A., Jones, J. and Wells, K. 2018. A Kalman-based approach with EM optimization for respiratory motion modelling in medical imaging. IEEE Transactions on Radiation and Plasma Medical Sciences 3(4), pp. 410-420. (10.1109/TRPMS.2018.2879441)
• Martins, C. et al. 2018. HER3-mediated resistance to Hsp90 inhibition detected in breast cancer xenografts by affibody-based PET imaging. Clinical Cancer Research 24(8), pp. 1853--1865. (10.1158/1078-0432.CCR-17-2754)
• Smith, R. L., Paisey, S. J., Evans, N., Florence, V., Fittock, E., Siebzehnrubl, F. and Marshall, C. 2018. Deep learning pre-clinical medical image segmentation for automated organ-wise delineation of PET. Presented at: Annual Congress of the European Association of Nuclear Medicine, Barcelona, Spain, 12-16 October 2019, Vol. 45.

2017

• Smith, R. 2017. Motion correction in medical imaging. PhD Thesis, University of Surrey.

2016

• Smith, R. L., Dasari, P., Lindsay, C., King, M. and Wells, K. 2016. Dense motion propogation from sparse samples for free breathing respiratory motion modelling. Presented at: 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Seattle, WA, USA, 8-15 November 20142014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE pp. 1--5., (10.1109/NSSMIC.2014.7430843)
• Burley, T. A. et al. 2016. Imaging EGFR in head and neck cancer: useful prognostic and treatment monitoring tool? [Conference Abstract]. European Journal of Nuclear Medicine and Molecular Imaging 43, pp. S231--S231.

2014

• Smith, R., Rahni, A., Jones, J., Tahavori, F. and Wells, K. 2014. Motion estimation for nuclear medicine: a probabilistic approach. Presented at: SPIE Medical Imaging, San Diego, CA, USA, 15-20 February 2014 Presented at Ourselin, S. and Styner, M. A. eds.Proceedings Volume 9034, Medical Imaging 2014: Image Processing. SPIE, (10.1117/12.2044141)

2013

• Rahni, A. A. A., Smith, R., Lewis, E. and Wells, K. 2013. Extracting respiratory motion from 4D MRI using organ-wise registration. Presented at: SPIE Medical Imaging, Lake Buena Vista, FL, USA, 9-14 February 2013 Presented at Ourselin, S. and Haynor, D. R. eds.Proceedings Volume 8669, Medical Imaging 2013: Image Processing. SPIE pp. 866930., (10.1117/12.2006861)
• Smith, R. L., Rahni, A. A., Jones, J. and Wells, K. 2013. Adaptive recursive Bayesian estimation using expectation maximization for respiratory motion correction in Nuclear Medicine. Presented at: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), Seoul, South Korea, 27 October-2 November 20132013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE pp. 1--4., (10.1109/NSSMIC.2013.6829066)
• Smith, R. L., Wells, K., Jones, J., Dasari, P., Lindsay, C. and King, M. 2013. Toward a framework for high resolution parametric respiratory motion modelling. Presented at: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), Seoul, South Korea, 27 October-2 November 20132013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE pp. 1--4., (10.1109/NSSMIC.2013.6829294)
• Smith, R., Rahni, A. A., Jones, J. and Wells, K. 2013. Recursive Bayesian estimation for respiratory motion correction in nuclear medicine imaging. Presented at: 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, USA, 27 Oct - 3 Nov 20122012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE, (10.1109/NSSMIC.2012.6551672)