Jose Caballero
Jose Caballero
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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
66552016
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
31002016
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
S Jo, J Caballero, JV Hajnal, A Price, D Rueckert
arXiv, 2017
771*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
4682017
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
4032016
Amortised MAP Inference for Image Super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
ArXiv, 2016
3642016
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
2572018
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
2032013
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
1972014
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
180*
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
1072017
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
1002016
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
872004
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
742015
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
462004
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
432012
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
382019
Machine Learning for Visual Processing
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent App. 15/679,984, 2017
352017
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
352017
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
232014
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Artiklar 1–20