Wenzhe Shi(施闻哲)
Wenzhe Shi(施闻哲)
ML Researcher, Twitter Inc, Cortex Applied Research
Verified email at twitter.com - Homepage
TitleCited byYear
Photo-realistic single image super-resolution using a generative adversarial network
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
W Shi, J Caballero, F Huszár, J Totz, AP Aitken, R Bishop, D Rueckert, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Amortised map inference for image super-resolution
CK Sřnderby, J Caballero, L Theis, W Shi, F Huszár
arXiv preprint arXiv:1610.04490, 2016
Lossy image compression with compressive autoencoders
L Theis, W Shi, A Cunningham, F Huszár
arXiv preprint arXiv:1703.00395, 2017
A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images
W Bai, W Shi, DP O'regan, T Tong, H Wang, S Jamil-Copley, NS Peters, ...
IEEE transactions on medical imaging 32 (7), 1302-1315, 2013
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
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Multi-atlas segmentation with augmented features for cardiac MR images
W Bai, W Shi, C Ledig, D Rueckert
Medical image analysis 19 (1), 98-109, 2015
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database
C Tobon-Gomez, M De Craene, K Mcleod, L Tautz, W Shi, A Hennemuth, ...
Medical image analysis 17 (6), 632-648, 2013
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
Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand …
R Karim, RJ Housden, M Balasubramaniam, Z Chen, D Perry, A Uddin, ...
Journal of Cardiovascular Magnetic Resonance 15 (1), 105, 2013
Right ventricle segmentation from cardiac MRI: a collation study
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical image analysis 19 (1), 187-202, 2015
The estimation of patient-specific cardiac diastolic functions from clinical measurements
J Xi, P Lamata, S Niederer, S Land, W Shi, X Zhuang, S Ourselin, ...
Medical image analysis 17 (2), 133-146, 2013
A comprehensive cardiac motion estimation framework using both untagged and 3D tagged MR images based on non-rigid registration.
W Shi, X Zhuang, H Wang, D Luong, C Tobon-Gomez, P Edwards, ...
Medical Imaging, IEEE Transactions on 31 (6), 1263-1275, 2012
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
W Bai, W Shi, A de Marvao, TJW Dawes, DP O’Regan, SA Cook, ...
Medical image analysis 26 (1), 133-145, 2015
Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging study
TJW Dawes, A de Marvao, W Shi, T Fletcher, GMJ Watson, J Wharton, ...
Radiology 283 (2), 381-390, 2017
Fast face-swap using convolutional neural networks
I Korshunova, W Shi, J Dambre, L Theis
Proceedings of the IEEE International Conference on Computer Vision, 3677-3685, 2017
Temporal sparse free-form deformations
W Shi, M Jantsch, P Aljabar, L Pizarro, W Bai, H Wang, D O’Regan, ...
Medical image analysis 17 (7), 779-789, 2013
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
Registration using sparse free-form deformations
W Shi, X Zhuang, L Pizarro, W Bai, H Wang, KP Tung, P Edwards, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2012
Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power
A de Marvao, TJW Dawes, W Shi, C Minas, NG Keenan, T Diamond, ...
Journal of cardiovascular magnetic resonance 16 (1), 16, 2014
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