| HER3-mediated resistance to Hsp90 inhibition detected in breast cancer xenografts by affibody-based PET imaging CD Martins, C Da Pieve, TA Burley, R Smith, DM Ciobota, L Allott, ... Clinical Cancer Research 24 (8), 1853-1865, 2018 | 31 | 2018 |
| Reinforcement Learning for Object Detection in PET Imaging RL Smith, IM Ackerley, K Wells, L Bartley, S Paisey, C Marshall 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 12 | 2020 |
| Using deep learning to detect oesophageal lesions in PET-CT I Ackerley, R Smith, J Scuffham, M Halling-Brown, E Lewis, E Spezi, ... Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 12 | 2019 |
| A Kalman-based approach with EM optimization for respiratory motion modeling in medical imaging RL Smith, AA Abd Rahni, J Jones IEEE Transactions on Radiation and Plasma Medical Sciences 3 (4), 410-420, 2018 | 9 | 2018 |
| Deep learning pre-clinical medical image segmentation for automated organ-wise delineation of PET RL Smith, SJ Paisey, N Evans, V Florence, E Fittock, F Siebzehnrubl, ... | 9 | 2018 |
| Recursive bayesian estimation for respiratory motion correction in nuclear medicine imaging RL Smith, A Abd Rahni, J Jones, K Wells 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record …, 2012 | 8 | 2012 |
| Deep learning image transformation under radon transform H Chang, R Smith, S Paisey, R Boutchko, D Mitra 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 7 | 2020 |
| Dense motion propagation from sparse samples RL Smith, P Dasari, C Lindsay, M King, K Wells Physics in Medicine & Biology 64 (20), 205023, 2019 | 6 | 2019 |
| Stability of PET radiomic features: A preclinical study E Alsyed, R Smith, C Marshall, S Paisey, E Spezi | 6 | 2019 |
| Extracting respiratory motion from 4D MRI using organ-wise registration AAA Rahni, R Smith, E Lewis, K Wells Medical Imaging 2013: Image Processing 8669, 821-826, 2013 | 6 | 2013 |
| Quantitative Evaluation of Synthesized Brain PET Using a Variational Autoencoder R John, J Penning, H Chandler, P Fielding, C Marshall, R Smith 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2021 | 5 | 2021 |
| Can deep learning detect esophageal lesions in PET-CT scans? I Ackerley, R Smith, J Scuffham, M Halling-Brown, E Lewis, E Spezi, ... 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 5 | 2019 |
| The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study EM Alsyed, R Smith, C Marshall, S Paisey, E Spezi 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 5 | 2019 |
| A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings. E Alsyed, R Smith, L Bartley, C Marshall, E Spezi Frontiers in Nuclear Medicine 3, 1-12, 2023 | 4 | 2023 |
| Toward a framework for high resolution parametric respiratory motion modelling RL Smith, K Wells, J Jones, P Dasari, C Lindsay, M King 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 4 | 2013 |
| Automatic labeling of glycolytic volumes in pet using deep texture analysis RR John, I Ackerley, RL Smith, J Scuffham, A Robinson, V Prakash, ... 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | 3 | 2023 |
| A self organizing map for exploratory analysis of PET radiomic features E Alsyed, R Smith, S Paisey, C Marshall, E Spezi 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 3 | 2020 |
| Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder RL Smith, H Chandler, E Alsyed, L Bartley, P Fielding, C Marshall 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 3 | 2020 |
| Reinforcement Learning for Automated PET Image Segmentation RL Smith, L Bartley, S Paisey, C Marshall Eur. J. Nucl. Med. Mol. Imaging 46 (1), S758-S759, 2019 | 3 | 2019 |
| Dense motion propogation from sparse samples for free breathing respiratory motion modelling RL Smith, P Dasari, C Lindsay, M King, K Wells 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2014 | 3 | 2014 |
Kevin WellsProfessor in AI for Healthcare, University of Surreyכתובת אימייל מאומתת בדומיין surrey.ac.uk