| Anatomically constrained neural networks (ACNN): Application to cardiac image enhancement and segmentation O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, S Cook, ... IEEE Transactions on Medical Imaging 37 (2), 384-395, 2018 | 197 | 2018 |
| A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: Application to cardiac MR images W Bai, W Shi, DP O'Regan, T Tong, H Wang, S Jamil-Copley, NS Peters, ... IEEE Transactions on Medical Imaging 32 (7), 1302-1315, 2013 | 188 | 2013 |
| Cardiac image super-resolution with global correspondence using multi-atlas patchmatch W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ... International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 123 | 2013 |
| Ensembles of multiple models and architectures for robust brain tumour segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... MICCAI Brainlesion Workshop, 450-462, 2017 | 120 | 2017 |
| Multi-atlas segmentation with augmented features for cardiac MR images W Bai, W Shi, C Ledig, D Rueckert Medical Image Analysis, 2014 | 120 | 2014 |
| Automated cardiovascular magnetic resonance image analysis with fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... Journal of Cardiovascular Magnetic Resonance 20 (65), 2018 | 111* | 2018 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 108 | 2018 |
| Multi-input cardiac image super-resolution using convolutional neural networks O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 107 | 2016 |
| Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand … R Karim, RJ Housden, M Balasubramaniam, Z Chen, D Perry, A Uddin, ... Journal of Cardiovascular Magnetic Resonance 15 (105), 1, 2013 | 107 | 2013 |
| Right ventricle segmentation from cardiac MRI: A collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical Image Analysis, 2014 | 106 | 2014 |
| DeepCut: Object segmentation from bounding box annotations using convolutional neural networks M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ... IEEE Transactions on Medical Imaging 36 (2), 674-683, 2017 | 104 | 2017 |
| Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study LC Malcolme-Lawes, C Juli, R Karim, W Bai, R Quest, PB Lim, ... Heart Rhythm 10 (8), 1184-1191, 2013 | 104 | 2013 |
| Regularized B-spline deformable registration for respiratory motion correction in PET images W Bai, M Brady Physics in Medicine & Biology 54 (9), 2719, 2009 | 84 | 2009 |
| Motion correction and attenuation correction for respiratory gated PET images W Bai, M Brady IEEE Transactions on Medical Imaging 30 (2), 351-365, 2011 | 76 | 2011 |
| A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion W Bai, W Shi, A de Marvao, TJW Dawes, DP O’Regan, SA Cook, ... Medical Image Analysis 26 (1), 133-145, 2015 | 66 | 2015 |
| Semi-supervised learning for network-based cardiac MR image segmentation W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 58 | 2017 |
| Temporal sparse free-form deformations W Shi, M Jantsch, P Aljabar, L Pizarro, W Bai, H Wang, D O’Regan, ... Medical Image Analysis 17 (7), 779-789, 2013 | 49 | 2013 |
| Registration using sparse free-form deformations W Shi, X Zhuang, L Pizarro, W Bai, H Wang, KP Tung, P Edwards, ... International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 39 | 2012 |
| Reverse classification accuracy: Predicting segmentation performance in the absence of ground truth VV Valindria, I Lavdas, W Bai, K Kamnitsas, EO Aboagye, AG Rockall, ... IEEE Transactions on Medical Imaging 36 (8), 1597-1606, 2017 | 37 | 2017 |
| Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection X Zhuang, W Bai, J Song, S Zhan, X Qian, W Shi, Y Lian, D Rueckert Medical Physics 42 (7), 3822-3833, 2015 | 37 | 2015 |
Daniel RueckertProfessor of Visual Information Processing, Imperial College LondonVerified email at imperial.ac.uk
