José Caballero

Medicine · Health Sciences

19h-index25.3kcitations35works0.02yr avg
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Research Topics

Advanced MRI Techniques and Applications(12), Advanced Image Processing Techniques(11), Sparse and Compressive Sensing Techniques(9), Medical Imaging Techniques and Applications(9), Advanced Vision and Imaging(9)

Publications35 total

J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools II. Second data release and machine learning methodology
arXiv (Cornell University)·2022Open Access
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction
arXiv (Cornell University)·2019· 3 citedOpen Access
Deep Hashing using Entropy Regularised Product Quantisation Network
arXiv (Cornell University)·2019· 1 citedOpen Access
Generalizing Deep Learning MRI Reconstruction across Different Domains
arXiv (Cornell University)·2019· 3 citedOpen Access
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
IEEE Transactions on Medical Imaging·2018· 605 cited
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
arXiv (Cornell University)·2017· 29 citedOpen Access
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
arXiv (Cornell University)·2017· 35 citedOpen Access
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
IEEE Transactions on Medical Imaging·2017· 1.3k citedOpen Access
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging·2017· 726 citedOpen Access
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
arXiv (Cornell University)·2017· 141 citedOpen Access
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
2017· 782 cited
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
2017· 12.1k cited
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
arXiv (Cornell University)·2017· 17 citedOpen Access
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Lecture notes in computer science·2017· 342 cited
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
arXiv (Cornell University)·2016· 11 citedOpen Access
Is the deconvolution layer the same as a convolutional layer?
arXiv (Cornell University)·2016· 106 citedOpen Access
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
arXiv (Cornell University)·2016· 209 citedOpen Access
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
arXiv (Cornell University)·2016· 1.0k citedOpen Access
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
2016· 6.9k cited
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks
Lecture notes in computer science·2016· 222 citedOpen Access
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Frequent Co-authors

Daniel Rueckert(19), Wenzhe Shi(11), Joseph V. Hajnal(11), Zehan Wang(9), Anthony N. Price(9), Andrew P. Aitken(8), Jo Schlemper(8), Christian Ledig(7), Johannes Totz(7), Ferenc Huszár(5), Alejandro Acosta(5), Lucas Theis(4), Ozan Oktay(4), Wenjia Bai(4), Antonio de Marvao(3), Declan P. O’Regan(3), Chen Qin(3), Kanwal K. Bhatia(3), M. Jelínek(3), Andrew Cunningham(2)