Jose Caballero

发表

Amortised MAP Inference for Image Super-resolution pdf

Lucas Theis, Casper Kaae Sønderby, Wenzhe Shi, 2016, ICLR.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig, Lucas Theis, Alykhan Tejani, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dictionary based reconstruction of dynamic complex MRI data

D. Rueckert, Jose Caballero, J. Hajnal, 2012 .

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Daniel Rueckert, Zehan Wang, Wenzhe Shi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dictionary Learning and Time Sparsity in Dynamic MRI

Daniel Rueckert, Joseph V. Hajnal, Jose Caballero, 2012, MICCAI.

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2013, MICCAI.

Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data

Daniel Rueckert, Joseph V. Hajnal, Wenjia Bai, 2014, MICCAI.

Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize pdf

Christian Ledig, Lucas Theis, Zehan Wang, 2017, ArXiv.

Is the deconvolution layer the same as a convolutional layer? pdf

Christian Ledig, Lucas Theis, Zehan Wang, 2016, ArXiv.

Dictionary learning for medical image denoising, reconstruction, and segmentation

Daniel Rueckert, Kanwal K. Bhatia, Jose Caballero, 2016 .

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IEEE Transactions on Medical Imaging.

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IEEE Transactions on Medical Imaging.

Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks pdf

Alejandro Acosta, Zehan Wang, Wenzhe Shi, 2017, ArXiv.

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, IEEE Transactions on Medical Imaging.

Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

Christian Ledig, Alejandro Acosta, Zehan Wang, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IPMI.

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

Chen Wang, Wei Shi, Daniel Rueckert, 2016, IEEE Transactions on Medical Imaging.

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction pdf

Daniel Rueckert, Joseph V. Hajnal, Chen Qin, 2019, ArXiv.

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks

Konstantinos Kamnitsas, Daniel Rueckert, Declan P. O'Regan, 2016, MICCAI.

Dictionaries for fast and informative dynamic MRI acquisition

Jose Caballero, Jose Caballero, 2015 .

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2014, IEEE Transactions on Medical Imaging.

Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis

Ziad Al-Halah, Wenzhe Shi, Jose Caballero, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

D. Rueckert, Jose Caballero, J. Hajnal, 2017, IEEE Transactions on Medical Imaging.

Learning Shape Representations for Multi-Atlas Endocardium Segmentation in 3D Echo Images

D. Rueckert, Jose Caballero, O. Oktay, 2014, The MIDAS Journal.

Sparsity Based Spectral Embedding: Application to Multi-Atlas Echocardiography Segmentation!

Daniel Rueckert, Kevin Keraudren, Ozan Oktay, 2014 .

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction

D. Rueckert, Jose Caballero, J. Hajnal, 2014, IEEE Transactions on Medical Imaging.