Παρακολούθηση
Wenzhe Shi（施闻哲）
Wenzhe Shi（施闻哲）
ML@Elefant AI
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα elefant.gg
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Παρατίθεται από
Παρατίθεται από
Έτος
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
137992016
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
78372016
Lossy image compression with compressive autoencoders
L Theis, W Shi, A Cunningham, F Huszár
arXiv preprint arXiv:1703.00395, 2017
13342017
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
8702017
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
5392017
Amortised map inference for image super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
arXiv preprint arXiv:1610.04490, 2016
5332016
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
3132013
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
2652015
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
2592013
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
2582017
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
2122017
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
1992013
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
1932016
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
1922013
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
1912015
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
1752015
Super resolution using a generative adversarial network
W Shi, C Ledig, Z Wang, L Theis, F Huszar
US Patent 11,024,009, 2021
1732021
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
1262013
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
1062019
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
1012012
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