| Photo-realistic single image super-resolution using a generative adversarial network C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2539 | 2017 |
| Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network W Shi, J Caballero, F Huszár, J Totz, AP Aitken, R Bishop, D Rueckert, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1084 | 2016 |
| Real-time video super-resolution with spatio-temporal networks and motion compensation J Caballero, C Ledig, A Aitken, A Acosta, J Totz, Z Wang, W Shi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 123 | 2017 |
| Discriminative dictionary learning for abdominal multi-organ segmentation T Tong, R Wolz, Z Wang, Q Gao, K Misawa, M Fujiwara, K Mori, JV Hajnal, ... Medical image analysis 23 (1), 92-104, 2015 | 91 | 2015 |
| Geodesic Patch-based Segmentation Z Wang, K Bhatia, B Glocker, A de Marvao, T Dawes, K Misawa, K Mori, ... | 64 | 2014 |
| Is the deconvolution layer the same as a convolutional layer? W Shi, J Caballero, L Theis, F Huszar, A Aitken, C Ledig, Z Wang arXiv preprint arXiv:1609.07009, 2016 | 42 | 2016 |
| Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize A Aitken, C Ledig, L Theis, J Caballero, Z Wang, W Shi arXiv preprint arXiv:1707.02937, 2017 | 38 | 2017 |
| Patch-based segmentation without registration: application to knee MRI Z Wang, C Donoghue, D Rueckert International Workshop on Machine Learning in Medical Imaging, 98-105, 2013 | 27 | 2013 |
| Frame interpolation with multi-scale deep loss functions and generative adversarial networks J van Amersfoort, W Shi, A Acosta, F Massa, J Totz, Z Wang, J Caballero arXiv preprint arXiv:1711.06045, 2017 | 20 | 2017 |
| SUPER RESOLUTION USING A GENERATIVE ADVERSARIAL NETWORK W Shi, C Ledig, Z Wang, L Theis, F Huszar US Patent App. 15/706,428, 2018 | 16 | 2018 |
| Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework Z Wang, R Wolz, T Tong, D Rueckert Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2013 | 14 | 2013 |
| Enhancing Visual Data Using And Augmenting Model Libraries Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/680,716, 2017 | 6 | 2017 |
| Visual Processing Using Temporal and Spatial Interpolation Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/681,092, 2018 | 5 | 2018 |
| Online Training of Hierarchical Algorithms Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/679,660, 2017 | 4 | 2017 |
| OpenMOLE: a Workflow Engine for Distributed Medical Image Analysis J Passerat-Palmbach, M Leclaire, R Reuillon, Z Wang, D Rueckert | 4 | 2014 |
| Machine Learning for Visual Processing Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/679,984, 2017 | 3 | 2017 |
| Generative methods of super resolution Z Wang, W Shi, F Huszar, RD Bishop US Patent App. 15/856,923, 2018 | 2 | 2018 |
| Video encoding using hierarchical algorithms S Van Leuven, Z Wang, RD Bishop US Patent App. 15/855,450, 2018 | 2 | 2018 |
| Visual Processing Using Sub-Pixel Convolutions Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/679,965, 2017 | 2 | 2017 |
| Training end-to-end video processes Z Wang, RD Bishop, F Huszar, L Theis US Patent App. 15/855,518, 2018 | 1 | 2018 |
