| 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 | 713 | 2018 |
| 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 | 689 | 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 | 451 | 2018 |
| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 411 | 2022 |
| 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 | 334 | 2011 |
| Apparatus and method for registering two medical images D Barratt, Y Hu US Patent 8,620,055, 2013 | 318 | 2013 |
| 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 | 216 | 2012 |
| 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), 2017 | 192 | 2017 |
| 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 | 124 | 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 | 116 | 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 | 111 | 2019 |
| 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 |
| 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 | 102 | 2018 |
| Freehand ultrasound image simulation with spatially-conditioned generative adversarial networks Y Hu, E Gibson, LL Lee, W Xie, DC Barratt, T Vercauteren, JA Noble Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017 | 101 | 2017 |
| NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics SF Johnsen, ZA Taylor, MJ Clarkson, J Hipwell, M Modat, B Eiben, L Han, ... International journal of computer assisted radiology and surgery 10 (7 …, 2015 | 97 | 2015 |
| Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI … N Ghavami, Y Hu, E Gibson, E Bonmati, M Emberton, CM Moore, ... Medical image analysis 58, 101558, 2019 | 74 | 2019 |
| Towards image-guided pancreas and biliary endoscopy: automatic multi-organ segmentation on abdominal CT with dense dilated networks E Gibson, F Giganti, Y Hu, E Bonmati, S Bandula, K Gurusamy, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 74 | 2017 |
| Modelling prostate motion for data fusion during image-guided interventions Y Hu, TJ Carter, HU Ahmed, M Emberton, C Allen, DJ Hawkes, DC Barratt Medical Imaging, IEEE Transactions on 30 (11), 1887-1900, 2011 | 69 | 2011 |
| Inter-site variability in prostate segmentation accuracy using deep learning E Gibson, Y Hu, N Ghavami, HU Ahmed, C Moore, M Emberton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 68 | 2018 |
| Prostate cancer risk inflation as a consequence of image-targeted biopsy of the prostate: a computer simulation study NL Robertson, Y Hu, HU Ahmed, A Freeman, D Barratt, M Emberton European urology 65 (3), 628-634, 2014 | 68 | 2014 |
