| Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C Ledig, L Theis, F Huszar, J Caballero, A Aitken, A Tejani, J Totz, ... ArXiv, 2016 | 8336 | 2016 |
| Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network W Shi, J Caballero, F Huszar, J Totz, AP Aitken, R Bishop, D Rueckert, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 3999 | 2016 |
| A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction S Jo, J Caballero, JV Hajnal, A Price, D Rueckert arXiv, 2017 | 1001* | 2017 |
| Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ... IEEE transactions on medical imaging 37 (2), 384-395, 2017 | 554 | 2017 |
| 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 arXiv, 2016 | 516 | 2016 |
| Amortised MAP Inference for Image Super-resolution CK Sønderby, J Caballero, L Theis, W Shi, F Huszár ArXiv, 2016 | 410 | 2016 |
| Convolutional recurrent neural networks for dynamic MR image reconstruction C Qin, J Schlemper, J Caballero, AN Price, JV Hajnal, D Rueckert IEEE transactions on medical imaging 38 (1), 280-290, 2018 | 341 | 2018 |
| Proceedings of the IEEE conference on computer vision and pattern recognition C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Photo-realistic single image super-resolution using a generative adversarial …, 2017 | 237 | 2017 |
| Cardiac image super-resolution with global correspondence using multi-atlas patchmatch W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, AM Marvao, ... International conference on medical image computing and computer-assisted …, 2013 | 232 | 2013 |
| Dictionary learning and time sparsity for dynamic MR data reconstruction J Caballero, AN Price, D Rueckert, J Hajnal IEEE Transactions on Medical Imaging 33 (4), 979-994, 2014 | 218 | 2014 |
| Multi-Input Cardiac Image Super-Resolution using Convolutional Neural Networks O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016, 0 | 213* | |
| 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 | 134 | 2017 |
| 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 | 129 | 2016 |
| Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ... IEEE transactions on medical imaging 35 (4), 967-977, 2015 | 83 | 2015 |
| Bunched beam test of the CMS drift tubes local muon trigger P Arce, M Bellato, M Benettoni, A Benvenuti, D Bonacorsi, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2004 | 74 | 2004 |
| Enhancing visual data using and augmenting model libraries Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent 10,499,069, 2019 | 68 | 2019 |
| Machine Learning for Visual Processing Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent App. 15/679,984, 2017 | 49 | 2017 |
| Test beam analysis of the first CMS drift tube muon chamber C Albajar, N Amapane, P Arce, C Autermann, M Bellato, M Benettoni, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2004 | 47 | 2004 |
| Dictionary learning and time sparsity in dynamic MRI J Caballero, D Rueckert, JV Hajnal Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 256-263, 2012 | 44 | 2012 |
| 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 | 40 | 2017 |
Wenzhe Shi（施闻哲）Recommender Systems Research, Twitter Inc, Cortex Applied ResearchVerified email at twitter.com
