Jose Caballero
Jose Caballero
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TitleCited byYear
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
22072016
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
9212016
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
S Jo, J Caballero, JV Hajnal, A Price, D Rueckert
arXiv, 2017
205*2017
Amortised MAP Inference for Image Super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
ArXiv, 2016
1932016
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
1372017
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
1162014
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
1062016
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
992013
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
88*
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
412016
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
402015
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
362018
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
332017
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
252012
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
162017
Application-driven MRI: Joint reconstruction and segmentation from undersampled MRI data
J Caballero, W Bai, AN Price, D Rueckert, JV Hajnal
International Conference on Medical Image Computing and Computer-Assisted …, 2014
162014
Learning Shape Representations for Multi-Atlas Endocardium Segmentation in 3D Echo Images
O Oktay, W Shi, J Caballero, K Keraudren, D Rueckert
MICCAI Challenge on Endocardial Three-dimensional Ultrasound Segmentation …, 2014
102014
Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression
KK Bhatia, J Caballero, AN Price, Y Sun, JV Hajnal, D Rueckert
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015, 510-518, 2015
82015
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
52018
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
52017
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