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Jose Caballero
Jose Caballero
Shift Lab
Dirección de correo verificada de loci.ai - Página principal
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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
127472016
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
67062016
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
12422017
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
7832016
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
7732017
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
5752018
Amortised MAP Inference for Image Super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
ArXiv, 2016
5102016
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
S Jo, J Caballero, JV Hajnal, A Price, D Rueckert
arXiv, 2017
389*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
3012013
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
275*
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
2642014
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
1872017
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
1822016
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
1082015
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
982019
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
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
672016
Machine learning for visual processing
Z Wang, RD Bishop, W Shi, J Caballero, AP Aitken, J Totz
US Patent 11,528,492, 2022
642022
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
512012
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
502017
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Artículos 1–20