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Jose Caballero
Jose Caballero
Shift Lab
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Title
Cited by
Cited by
Year
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
134612016
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
75982016
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
13802017
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
8532016
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
8292017
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
7762017
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
6652018
Amortised MAP Inference for Image Super-resolution
CK Sřnderby, J Caballero, L Theis, W Shi, F Huszár
ArXiv, 2016
5272016
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
3112013
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
2742014
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
2072017
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
1912016
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
1142017
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
1132015
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
1052019
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
892004
Machine learning for visual processing
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 11,528,492, 2022
692022
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
662016
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