| Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge G Litjens, R Toth, W Van De Ven, C Hoeks, S Kerkstra, B Van Ginneken, ... Medical image analysis 18 (2), 359-373, 2014 | 761 | 2014 |
| NiftyNet: a deep-learning platform for medical imaging E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ... Computer methods and programs in biomedicine 158, 113-122, 2018 | 673 | 2018 |
| Automatic multi-organ segmentation on abdominal CT with dense V-networks E Gibson, F Giganti, Y Hu, E Bonmati, S Bandula, K Gurusamy, ... IEEE transactions on medical imaging 37 (8), 1822-1834, 2018 | 672 | 2018 |
| Weakly-supervised convolutional neural networks for multimodal image registration Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ... Medical image analysis 49, 1-13, 2018 | 420 | 2018 |
| Characterizing clinically significant prostate cancer using template prostate mapping biopsy HU Ahmed, Y Hu, T Carter, N Arumainayagam, E Lecornet, A Freeman, ... The Journal of urology 186 (2), 458-464, 2011 | 327 | 2011 |
| Apparatus and method for registering two medical images D Barratt, Y Hu US Patent 8,620,055, 2013 | 304 | 2013 |
| Focal therapy: patients, interventions, and outcomes—a report from a consensus meeting IA Donaldson, R Alonzi, D Barratt, E Barret, V Berge, S Bott, D Bottomley, ... European urology 67 (4), 771-777, 2015 | 258 | 2015 |
| Surgical Planning G Penney, D Barratt, D Hawkes, M Slomczykowski US Patent App. 11/847,652, 2009 | 255 | 2009 |
| MR to ultrasound registration for image-guided prostate interventions Y Hu, HU Ahmed, Z Taylor, C Allen, M Emberton, D Hawkes, D Barratt Medical image analysis 16 (3), 687-703, 2012 | 215 | 2012 |
| Medical image computing and computer assisted intervention–MICCAI 2018 U Schmidt, M Weigert, C Broaddus, G Myers Search PubMed, 265-273, 2018 | 183* | 2018 |
| Label-driven weakly-supervised learning for multimodal deformable image registration Y Hu, M Modat, E Gibson, N Ghavami, E Bonmati, CM Moore, M Emberton, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 177 | 2018 |
| Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging DC Barratt, CSK Chan, PJ Edwards, GP Penney, M Slomczykowski, ... Medical image analysis 12 (3), 358-374, 2008 | 177 | 2008 |
| Application of soft tissue modelling to image-guided surgery TJ Carter, M Sermesant, DM Cash, DC Barratt, C Tanner, DJ Hawkes Medical engineering & physics 27 (10), 893-909, 2005 | 159 | 2005 |
| Self-calibrating 3D-ultrasound-based bone registration for minimally invasive orthopedic surgery DC Barratt, GP Penney, CSK Chan, M Slomczykowski, TJ Carter, ... IEEE transactions on medical imaging 25 (3), 312-323, 2006 | 147 | 2006 |
| Tissue deformation and shape models in image-guided interventions: a discussion paper DJ Hawkes, D Barratt, JM Blackall, C Chan, PJ Edwards, K Rhode, ... Medical Image Analysis 9 (2), 163-175, 2005 | 124 | 2005 |
| The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy LAM Simmons, A Kanthabalan, M Arya, T Briggs, D Barratt, SC Charman, ... British journal of cancer 116 (9), 1159-1165, 2017 | 117 | 2017 |
| A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)‐biopsy strategies compared with template prostate mapping biopsies in patients … Y Hu, HU Ahmed, T Carter, N Arumainayagam, E Lecornet, W Barzell, ... BJU international 110 (6), 812-820, 2012 | 109 | 2012 |
| The accuracy of different biopsy strategies for the detection of clinically important prostate cancer: a computer simulation E Lecornet, HU Ahmed, Y Hu, CM Moore, P Nevoux, D Barratt, D Hawkes, ... The Journal of urology 188 (3), 974-980, 2012 | 105 | 2012 |
| The SmartTarget biopsy trial: a prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and magnetic resonance imaging/ultrasound … S Hamid, IA Donaldson, Y Hu, R Rodell, B Villarini, E Bonmati, P Tranter, ... European urology 75 (5), 733-740, 2019 | 101 | 2019 |
| Adversarial deformation regularization for training image registration neural networks Y Hu, E Gibson, N Ghavami, E Bonmati, CM Moore, M Emberton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 99 | 2018 |
