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Number of items: 14.

Alsyed, Emad, Smith, Rhodri, Marshall, Christopher, Paisey, Stephen and Spezi, Emiliano 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 2019. 2019 IEEE NSS-MIC. IEEE,
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Smith, Rhodri, Dasari, P., Lindsay, C., King, M. and Wells, K. 2019. Dense motion propagation from sparse samples. Physics in Medicine and Biology 64 (20) , 205023. 10.1088/1361-6560/ab41a0

Ackerley, Ian, Smith, Rhodri L., Scuffham, James W., Halling-Brown, Mark D., Lewis, Emma, Spezi, Emiliano, Prakash, Vineet and Wells, Kevin 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. Published in: 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, Rhodri, 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, Da Pieve, C, Burley, T, Smith, Rhodri, Ciobota, D, Allott, L, Harrington, K, Oyen, W, Smith, G and Kramer-Marek, G 2018. HER3-mediated resistance to Hsp90 inhibition detected in breast cancer xenografts by affibody-based PET imaging. Clinical Cancer Research 24 (8) , 1853--1865. 10.1158/1078-0432.CCR-17-2754

Smith, Rhodri L., Paisey, Stephen J., Evans, N., Florence, V., Fittock, E., Siebzehnrubl, F. and Marshall, Christopher 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.

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

Smith, Rhodri L., Dasari, Paul, Lindsay, Cliff, King, Michael and Wells, Kevin 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 2014. 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 1--5. 10.1109/NSSMIC.2014.7430843

Burley, T. A., Martins, C. D., Da Pieve, C., Allott, L., Smith, R., Ciobita, D. M., Smith, G., Harrington, K. and Kramer-Marek, G. 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 , S231--S231.

Smith, Rhodri, Rahni, A.A.A., Jones, John, Tahavori, Fatemeh and Wells, Kevin 2014. Motion estimation for nuclear medicine: a probabilistic approach. Presented at: SPIE Medical Imaging, San Diego, CA, USA, 15-20 February 2014. Published in: Ourselin, S. and Styner, M. A. eds. Proceedings Volume 9034, Medical Imaging 2014: Image Processing. SPIE, 10.1117/12.2044141

Smith, Rhodri, Rahni, Ashrani Abd, Jones, John and Wells, Kevin 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 2012. 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE, 10.1109/NSSMIC.2012.6551672

Smith, Rhodri L., Rahni, Ashrani Abd, Jones, John and Wells, Kevin 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 2013. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 1--4. 10.1109/NSSMIC.2013.6829066

Rahni, Ashrani A. A., Smith, Rhodri, Lewis, Emma and Wells, Kevin 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. Published in: Ourselin, Sebastien and Haynor, David R. eds. Proceedings Volume 8669, Medical Imaging 2013: Image Processing. SPIE, p. 866930. 10.1117/12.2006861

Smith, Rhodri L., Wells, Kevin, Jones, John, Dasari, Paul, Lindsay, Cliff and King, Michael 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 2013. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 1--4. 10.1109/NSSMIC.2013.6829294

This list was generated on Sat Jun 6 04:20:19 2020 BST.