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 | 13461 | 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 | 7598 | 2016 |
A deep cascade of convolutional neural networks for dynamic MR image reconstruction J Schlemper, J Caballero, JV Hajnal, AN Price, D Rueckert IEEE transactions on Medical Imaging 37 (2), 491-503, 2017 | 1380 | 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 | 853 | 2016 |
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 | 829 | 2017 |
Photo-realistic single image super-resolution using a generative adversarial network [C] C Ledig, L Theis, F Huszar, J Caballero, A Cunningham, A Acosta Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 776 | 2017 |
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 | 665 | 2018 |
Amortised MAP Inference for Image Super-resolution CK Sřnderby, J Caballero, L Theis, W Shi, F Huszár ArXiv, 2016 | 527 | 2016 |
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction S Jo, J Caballero, JV Hajnal, A Price, D Rueckert arXiv, 2017 | 431* | 2017 |
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 311 | 2013 |
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 | 287* | |
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 | 274 | 2014 |
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 | 207 | 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 | 191 | 2016 |
Proceedings of the IEEE conference on computer vision and pattern recognition C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 114 | 2017 |
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 | 113 | 2015 |
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 | 105 | 2019 |
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 | 89 | 2004 |
Machine learning for visual processing Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz US Patent 11,528,492, 2022 | 69 | 2022 |
Photo-realistic single image super-resolution using a generative adversarial network. arXiv 2016 C Ledig, L Theis, F Huszar, J Caballero, A Cunningham, A Acosta, ... arXiv preprint arXiv:1609.04802, 2016 | 66 | 2016 |