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2020 – today
- 2024
- [c52]Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko:
Multi-Objective Recommendation via Multivariate Policy Learning. RecSys 2024: 712-721 - [i19]Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko:
Multi-Objective Recommendation via Multivariate Policy Learning. CoRR abs/2405.02141 (2024) - 2023
- [c51]Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi:
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE 2023: 136-141 - [c50]Jiaxin Yang, Chenyuan Feng, Wenzhe Shi, Daquan Feng:
Dynamic Partition Caching and Replacement Scheme in the Internet of Vehicles. ICCT 2023: 1013-1018 - [c49]Yanzhe Hu, Chenyuan Feng, Wei Jiang, Wenzhe Shi, Daquan Feng:
Service Decision Mechanism Based On Traffic Flow Prediction in the Internet of Vehicles. ICCT 2023: 1036-1041 - [c48]Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green:
Investigating the effects of incremental training on neural ranking models. RecSys 2023: 318-321 - [i18]Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra:
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. CoRR abs/2312.01760 (2023) - 2022
- [i17]Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt:
Learning to Rank For Push Notifications Using Pairwise Expected Regret. CoRR abs/2201.07681 (2022) - [i16]Conor O'Brien, Huasen Wu, Shaodan Zhai, Dalin Guo, Wenzhe Shi, Jonathan J. Hunt:
Should I send this notification? Optimizing push notifications decision making by modeling the future. CoRR abs/2202.08812 (2022) - 2021
- [j13]Yang Li, Dejun Liu, Ying Zhai, Wenzhe Shi, Yixuan Xian:
3-D FEM Azimuth Forward Modeling of Hydraulic Fractures Based on Electromagnetic Theory. IEEE Geosci. Remote. Sens. Lett. 18(2): 246-250 (2021) - [c47]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge 2021: 1-6 - [c46]Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi:
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys 2021: 819-824 - [i15]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR abs/2109.08245 (2021) - 2020
- [j12]Xing Cheng, Dejun Liu, Wenzhe Shi, Yang Zhao, Yang Li, Dejin Kong:
A Novel Conversion Vector-Based Low-Complexity SLM Scheme for PAPR Reduction in FBMC/OQAM Systems. IEEE Trans. Broadcast. 66(3): 656-666 (2020) - [c45]Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das:
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. RecSys 2020: 456-461 - [c44]Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi:
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. RecSys 2020: 521-526 - [c43]Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi:
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys 2020: 623-627 - [i14]Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi:
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR abs/2004.13715 (2020) - [i13]Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi:
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. CoRR abs/2007.14523 (2020) - [i12]Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani:
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. CoRR abs/2008.00727 (2020)
2010 – 2019
- 2019
- [j11]Wenzhe Shi, Dejun Liu, Xing Cheng, Yang Li, Yang Zhao:
Particle Swarm Optimization-Based Deep Neural Network for Digital Modulation Recognition. IEEE Access 7: 104591-104600 (2019) - [c42]Xing Cheng, Dejun Liu, Song Yan, Wenzhe Shi, Yang Zhao:
Channel Estimation and Equalization Based on Deep BLSTM for FBMC-OQAM Systems. ICC 2019: 1-6 - [c41]Ziad Al-Halah, Andrew P. Aitken, Wenzhe Shi, Jose Caballero:
Smile, Be Happy : ) Emoji Embedding for Visual Sentiment Analysis. ICCV Workshops 2019: 4491-4500 - [c40]Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszár, Steven Yoo, Wenzhe Shi:
Addressing delayed feedback for continuous training with neural networks in CTR prediction. RecSys 2019: 187-195 - [i11]Ziad Al-Halah, Andrew P. Aitken, Wenzhe Shi, Jose Caballero:
Smile, be Happy : ) Emoji Embedding for Visual Sentiment Analysis. CoRR abs/1907.06160 (2019) - [i10]Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi:
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction. CoRR abs/1907.06558 (2019) - 2018
- [j10]Carlo Biffi, Antonio de Marvao, Mark I Attard, Timothy J. W. Dawes, Nicola Whiffin, Wenjia Bai, Wenzhe Shi, Catherine Francis, Hannah Meyer, Rachel J. Buchan, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan:
Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinform. 34(1): 97-103 (2018) - [c39]Xing Cheng, Dejun Liu, Zhengyu Zhu, Wenzhe Shi, Yang Li:
A ResNet-DNN based Channel Estimation and Equalization Scheme in FBMC/OQAM Systems. WCSP 2018: 1-5 - 2017
- [c38]Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR 2017: 105-114 - [c37]Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CVPR 2017: 2848-2857 - [c36]Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis:
Fast Face-Swap Using Convolutional Neural Networks. ICCV 2017: 3697-3705 - [c35]Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár:
Amortised MAP Inference for Image Super-resolution. ICLR 2017 - [c34]Lucas Theis, Wenzhe Shi, Andrew Cunningham, Ferenc Huszár:
Lossy Image Compression with Compressive Autoencoders. ICLR (Poster) 2017 - [c33]Xiaochen Lai, Wenzhe Shi, Lu Liu, Xin Liu, Yu Zhao:
A Study on the Motion Recognition of Basketball Players Based on Unit Gesture Decomposition. IMIS 2017: 254-265 - [i9]Lucas Theis, Wenzhe Shi, Andrew Cunningham, Ferenc Huszár:
Lossy Image Compression with Compressive Autoencoders. CoRR abs/1703.00395 (2017) - [i8]Andrew P. Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, Wenzhe Shi:
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize. CoRR abs/1707.02937 (2017) - [i7]Joost R. van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero:
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks. CoRR abs/1711.06045 (2017) - 2016
- [c32]Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang:
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. CVPR 2016: 1874-1883 - [c31]Xiaochen Lai, Wenzhe Shi, Xin Liu, Huawei Zhang, Yu Zhao:
Design of Motion Capture System Based on MEMS. iThings/GreenCom/CPSCom/SmartData 2016: 604-608 - [c30]Dengqiang Jia, Wenzhe Shi, Daniel Rueckert, Liu Liu, Sébastien Ourselin, Xiahai Zhuang:
A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path. MIAR 2016: 320-328 - [c29]Eric Kerfoot, Lauren Fovargue, Simone Rivolo, Wenzhe Shi, Daniel Rueckert, David Nordsletten, Jack Lee, Radomír Chabiniok, Reza Razavi:
Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis. MIAR 2016: 425-437 - [i6]Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi:
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR abs/1609.04802 (2016) - [i5]Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang:
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. CoRR abs/1609.05158 (2016) - [i4]Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew P. Aitken, Christian Ledig, Zehan Wang:
Is the deconvolution layer the same as a convolutional layer? CoRR abs/1609.07009 (2016) - [i3]Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár:
Amortised MAP Inference for Image Super-resolution. CoRR abs/1610.04490 (2016) - [i2]Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi:
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CoRR abs/1611.05250 (2016) - [i1]Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis:
Fast Face-swap Using Convolutional Neural Networks. CoRR abs/1611.09577 (2016) - 2015
- [j9]Wenjia Bai, Wenzhe Shi, Christian Ledig, Daniel Rueckert:
Multi-atlas segmentation with augmented features for cardiac MR images. Medical Image Anal. 19(1): 98-109 (2015) - [j8]Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan:
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j7]Wenjia Bai, Wenzhe Shi, Antonio M. Simoes Monteiro de Marvao, Timothy J. W. Dawes, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert:
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Medical Image Anal. 26(1): 133-145 (2015) - [j6]Alberto Gómez, Adelaide de Vecchi, Martin Jantsch, Wenzhe Shi, Kuberan Pushparajah, John M. Simpson, Nicolas P. Smith, Daniel Rueckert, Tobias Schaeffter, Graeme P. Penney:
4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data. IEEE Trans. Medical Imaging 34(11): 2298-2308 (2015) - [c28]Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O'Regan, Andrew P. King, Daniel Rueckert:
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. FIMH 2015: 3-11 - [c27]Haiyan Wang, Wenzhe Shi, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Timothy J. W. Dawes, Declan P. O'Regan, Philip J. Edwards, Stuart A. Cook, Daniel Rueckert:
Prediction of Clinical Information from Cardiac MRI Using Manifold Learning. FIMH 2015: 91-98 - [c26]Ozan Oktay, Alberto Gómez, Kevin Keraudren, Andreas Schuh, Wenjia Bai, Wenzhe Shi, Graeme P. Penney, Daniel Rueckert:
Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. FIMH 2015: 223-230 - [c25]Anastasia Nasopoulou, Bojan Blazevic, Andrew Crozier, Wenzhe Shi, Anoop Shetty, C. Aldo Rinaldi, Pablo Lamata, Steven A. Niederer:
Myocardial Stiffness Estimation: A Novel Cost Function for Unique Parameter Identification. FIMH 2015: 355-363 - [c24]Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King:
Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. STACOM@MICCAI 2015: 30-39 - [c23]Keyi Zhang, Ping Zhao, Hongfei Yao, Jie Liu, Wenzhe Shi, Wenhao Wang, Zhenjin Wang, Bo Li:
An Improved 3D Location Algorithm Model Research Based on Directional TD-MUSIC. SmartCity 2015: 581-585 - 2014
- [c22]Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert:
Patch-Based Evaluation of Image Segmentation. CVPR 2014: 3065-3072 - [c21]Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang:
Coronary centerline extraction based on ostium detection and model-guided directional minimal path. ISBI 2014: 133-136 - [c20]Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert:
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. ISBI 2014: 673-676 - [c19]Kanwal K. Bhatia, Anthony N. Price, Wenzhe Shi, Joseph V. Hajnal, Daniel Rueckert:
Super-resolution reconstruction of cardiac MRI using coupled dictionary learning. ISBI 2014: 947-950 - [c18]Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert:
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. MICCAI (1) 2014: 348-355 - 2013
- [j5]Jiahe Xi, Pablo Lamata, Steven A. Niederer, Sander Land, Wenzhe Shi, Xiahai Zhuang, Sébastien Ourselin, Simon G. Duckett, Anoop Shetty, C. Aldo Rinaldi, Daniel Rueckert, Reza Razavi, Nic Smith:
The estimation of patient-specific cardiac diastolic functions from clinical measurements. Medical Image Anal. 17(2): 133-146 (2013) - [j4]Catalina Tobon-Gomez, Mathieu De Craene, Kristin McLeod, Lennart Tautz, Wenzhe Shi, Anja Hennemuth, Adityo Prakosa, H. Wang, Gerry Carr-White, Stam Kapetanakis, Anja Lutz, Volker Rasche, Tobias Schaeffter, Constantine Butakoff, Ola Friman, Tommaso Mansi, Maxime Sermesant, Xiahai Zhuang, Sébastien Ourselin, Heinz-Otto Peitgen, Xavier Pennec, Reza Razavi, Daniel Rueckert, Alejandro F. Frangi, Kawal S. Rhode:
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database. Medical Image Anal. 17(6): 632-648 (2013) - [j3]Wenzhe Shi, Martin Jantsch, Paul Aljabar, Luis Pizarro, Wenjia Bai, Haiyan Wang, Declan P. O'Regan, Xiahai Zhuang, Daniel Rueckert:
Temporal sparse free-form deformations. Medical Image Anal. 17(7): 779-789 (2013) - [j2]Wenjia Bai, Wenzhe Shi, Declan P. O'Regan, Tong Tong, Haiyan Wang, Shahnaz Jamil-Copley, Nicholas S. Peters, Daniel Rueckert:
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images. IEEE Trans. Medical Imaging 32(7): 1302-1315 (2013) - [c17]Radomír Chabiniok, James Wong, Daniel Giese, David Nordsletten, Wenzhe Shi, Gerald Greil, Daniel Rueckert, Reza Razavi, Tobias Schaeffter, Nic Smith:
Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI. FIMH 2013: 360-369 - [c16]Kai-Pin Tung, Wen-Jia Bei, Wenzhe Shi, Haiyan Wang, Tong Tong, Ranil De Silva, Eddie Edwards, Daniel Rueckert:
Multi-atlas based neointima segmentation in intravascular coronary OCT. ISBI 2013: 1280-1283 - [c15]Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert:
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. MICCAI (3) 2013: 9-16 - [c14]Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sébastien Ourselin, Xiahai Zhuang:
Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. MICCAI (1) 2013: 542-549 - [c13]Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Xianliang Wu, Kai-Pin Tung, Sébastien Ourselin, Philip J. Edwards, Daniel Rueckert:
Landmark detection and coupled patch registration for cardiac motion tracking. Medical Imaging: Image Processing 2013: 86690J - [c12]Xiahai Zhuang, Wenzhe Shi, Haiyan Wang, Daniel Rueckert, Sébastien Ourselin:
Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. Medical Imaging: Image Processing 2013: 866941 - 2012
- [j1]Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Duy V. N. Luong, Catalina Tobon-Gomez, Kai-Pin Tung, Philip J. Edwards, Kawal S. Rhode, Reza Razavi, Sébastien Ourselin, Daniel Rueckert:
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration. IEEE Trans. Medical Imaging 31(6): 1263-1275 (2012) - [c11]Kai-Pin Tung, Wenzhe Shi, Luis Pizarro, Hiroto Tsujioka, Haiyan Wang, Ricardo Guerrero, Ranil De Silva, Philip Eddie Edwards, Daniel Rueckert:
Automatic detection of coronary stent struts in intravascular OCT imaging. Medical Imaging: Computer-Aided Diagnosis 2012: 83150K - [c10]Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert:
Registration Using Sparse Free-Form Deformations. MICCAI (2) 2012: 659-666 - 2011
- [c9]Jie Shen, Wenzhe Shi, Maja Pantic:
HCI⁁2 Workbench: A development tool for multimodal human-computer interaction systems. FG 2011: 766-773 - [c8]Wenzhe Shi, Xiahai Zhuang, Haiyan Wang, Simon G. Duckett, Declan P. O'Regan, Philip J. Edwards, Sébastien Ourselin, Daniel Rueckert:
Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation. FIMH 2011: 163-170 - [c7]Xiahai Zhuang, Wenzhe Shi, Simon G. Duckett, Haiyan Wang, Reza Razavi, David J. Hawkes, Daniel Rueckert, Sébastien Ourselin:
A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions. FIMH 2011: 367-374 - [c6]Jiahe Xi, Pablo Lamata, Wenzhe Shi, Steven A. Niederer, Sander Land, Daniel Rueckert, Simon G. Duckett, Anoop Shetty, C. Aldo Rinaldi, Reza Razavi, Nic Smith:
An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation. FIMH 2011: 392-400 - [c5]Kai-Pin Tung, Wenzhe Shi, Ranil De Silva, Eddie Edwards, Daniel Rueckert:
Automatical vessel wall detection in intravascular coronary OCT. ISBI 2011: 610-613 - [c4]Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon G. Duckett, Kai-Pin Tung, Philip J. Edwards, Reza Razavi, Sébastien Ourselin, Daniel Rueckert:
Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. STACOM 2011: 45-54 - [c3]Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sébastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert:
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. STACOM 2011: 178-187 - [c2]Kai-Pin Tung, Wenzhe Shi, Ranil De Silva, Philip J. Edwards, Daniel Rueckert:
Automated Segmentation of Coronary Vessel Wall in OCT Imaging. MIUA 2011: 299-304 - 2010
- [c1]Wenzhe Shi, Maria Murgasova, Philip J. Edwards, Daniel Rueckert:
Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration. MIAR 2010: 98-107
Coauthor Index
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