| Complications of continuous ambulatory peritoneal dialysis S Stuart, TC Booth, CJC Cash, A Hameeduddin, JA Goode, C Harvey, ... Radiographics 29 (2), 441-460, 2009 | 155 | 2009 |
| Imaging of primary central nervous system lymphoma YZ Tang, TC Booth, P Bhogal, A Malhotra, T Wilhelm Clinical radiology 66 (8), 768-777, 2011 | 139 | 2011 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 133 | 2022 |
| Quantitative imaging biomarkers in neuro-oncology AD Waldman, A Jackson, SJ Price, CA Clark, TC Booth, DP Auer, PS Tofts, ... Nature Reviews Clinical Oncology 6 (8), 445-454, 2009 | 126 | 2009 |
| Evolution of imaging for abdominal perforation JP Singh, MJ Steward, TC Booth, H Mukhtar, D Murray The Annals of The Royal College of Surgeons of England 92 (3), 182-188, 2010 | 105 | 2010 |
| Incidental findings found in “healthy” volunteers during imaging performed for research: current legal and ethical implications TC Booth, A Jackson, JM Wardlaw, SA Taylor, AD Waldman The British journal of radiology 83 (990), 456-465, 2010 | 94 | 2010 |
| The role of functional dopamine-transporter SPECT imaging in parkinsonian syndromes, part 1 TC Booth, M Nathan, AD Waldman, AM Quigley, AH Schapira, ... American Journal of Neuroradiology 36 (2), 229-235, 2015 | 89 | 2015 |
| Machine learning and glioma imaging biomarkers TC Booth, M Williams, A Luis, J Cardoso, A Keyoumars, H Shuaib arXiv preprint arXiv:1910.07440, 2019 | 83 | 2019 |
| The role of functional dopamine-transporter SPECT imaging in parkinsonian syndromes, part 2 TC Booth, M Nathan, AD Waldman, AM Quigley, AH Schapira, ... American Journal of Neuroradiology 36 (2), 236-244, 2015 | 58 | 2015 |
| Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment TJ Larkin, HC Canuto, MI Kettunen, TC Booth, DE Hu, AS Krishnan, ... Magnetic resonance in medicine 71 (1), 402-410, 2014 | 57 | 2014 |
| Accurate brain‐age models for routine clinical MRI examinations DA Wood, S Kafiabadi, A Al Busaidi, E Guilhem, A Montvila, J Lynch, ... Neuroimage 249, 118871, 2022 | 50 | 2022 |
| Carbonic Anhydrase Activity Monitored In Vivo by Hyperpolarized 13C-Magnetic Resonance Spectroscopy Demonstrates Its Importance for pH Regulation in Tumors FA Gallagher, H Sladen, MI Kettunen, EM Serrao, TB Rodrigues, A Wright, ... Cancer research 75 (19), 4109-4118, 2015 | 50 | 2015 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain … A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum Springer, 2019 | 49 | 2019 |
| Radiology in the undergraduate medical curriculum—who, how, what, when, and where? P Bhogal, TC Booth, AJ Phillips, SJ Golding Clinical radiology 67 (12), 1146-1152, 2012 | 48 | 2012 |
| Management of incidental findings during imaging research in “healthy” volunteers: current UK practice TC Booth, AD Waldman, JM Wardlaw, SA Taylor, A Jackson The British Journal of Radiology 85 (1009), 11-21, 2012 | 48 | 2012 |
| Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma TC Booth, TJ Larkin, Y Yuan, MI Kettunen, SN Dawson, D Scoffings, ... PLoS One 12 (5), e0176528, 2017 | 44 | 2017 |
| Acting on incidental findings in research imaging JM Wardlaw, H Davies, TC Booth, G Laurie, A Compston, C Freeman, ... Bmj 351, 2015 | 44 | 2015 |
| High-grade glioma treatment response monitoring biomarkers: a position statement on the evidence supporting the use of advanced MRI techniques in the clinic, and the latest … OM Henriksen, M del Mar Álvarez-Torres, P Figueiredo, G Hangel, ... Frontiers in oncology 12, 810263, 2022 | 42 | 2022 |
| AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium C Davatzikos, JS Barnholtz-Sloan, S Bakas, R Colen, A Mahajan, ... Neuro-oncology 22 (6), 886-888, 2020 | 42 | 2020 |
| Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM) DA Wood, J Lynch, S Kafiabadi, E Guilhem, A Al Busaidi, A Montvila, ... arXiv preprint arXiv:2002.06588, 2020 | 40 | 2020 |
