Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDGuang Yang 0006
Person information
- affiliation: Imperial College London, National Heart and Lung Institute, UK
- affiliation: St. George's, University of London, Neuroscience Research Centre, UK
- affiliation (PhD 2012): University College London, Computer Science and Medical Physics, UK
Other persons with the same name
- Guang Yang — disambiguation page
- Guang Yang 0001 — Nokia Research Center Palo Alto
- Guang Yang 0002 — Dongguan University of Science and Technology
- Guang Yang 0003 — Jet Propulsion Lab, NASA
- Guang Yang 0004 — University of California, Berkeley
- Guang Yang 0005
![[0000-0002-2161-6301]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2161-6301")
— Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more) - Guang Yang 0007 — Southeast University, School of Economics and Management, Nanjing, China
- Guang Yang 0008 — KTH Royal Institute of Technology, Department of Information Science and Engineering, Stockholm, Sweden
- Guang Yang 0009 — Beijing University of Posts and Telecommunications, China
- Guang Yang 0010 — Shandong Jiaotong University, School of Information Science and Electrical Engineering, Jinan, China (and 1 more)
- Guang Yang 0011 — Qingdao University of Technology, School of Information and Control Engineering, China (and 1 more)
- Guang Yang 0012 — Stevens Institute of Technology, Electrical and Computer Engineering Department, Castle Point on Hudson, Hoboken, NJ, USA
- Guang Yang 0013 — Shenzhen Polytechnic, School of Entrepreneurship and Innovation, China
- Guang Yang 0014 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Guang Yang 0015 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Guang Yang 0016 — Western Norway University of Applied Sciences, Norway (and 1 more)
- Guang Yang 0017 — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Guang Yang 0018 — Boston University, Boston, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j31]Guang Yang, Qinghao Ye, Jun Xia:
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. Inf. Fusion 77: 29-52 (2022)- 2021
- [j30]Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang:
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss. IEEE Access 9: 105951-105964 (2021) - [j29]Yao Jin, Guang Yang, Ying Fang, Ruipeng Li, Xiaomei Xu, Yongkai Liu, Xiaobo Lai:
3D PBV-Net: An automated prostate MRI data segmentation method. Comput. Biol. Medicine 128: 104160 (2021) - [j28]Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang:
Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction. Comput. Biol. Medicine 134: 104504 (2021) - [j27]Guang Yang, Heye Zhang, David N. Firmin, Shuo Li:
Recent advances in artificial intelligence for cardiac imaging. Comput. Medical Imaging Graph. 90: 101928 (2021) - [j26]Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang:
FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution. Comput. Medical Imaging Graph. 92: 101969 (2021) - [j25]Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai:
ME-Net: Multi-encoder net framework for brain tumor segmentation. Int. J. Imaging Syst. Technol. 31(4): 1834-1848 (2021) - [j24]Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, David E. Newby, Calum D. Gray, Gillian Macnaught, Tom J. MacGillivray:
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion 67: 147-160 (2021) - [j23]Weiwei Zhang, Guang Yang, Nan Zhang, Lei Xu, Xiaoqing Wang, Yanping Zhang, Heye Zhang, Javier Del Ser, Victor Hugo C. de Albuquerque:
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis. Inf. Fusion 71: 64-76 (2021) - [j22]Chengjia Wang, Guang Yang, Giorgos Papanastasiou, Heye Zhang, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation. IEEE Trans. Ind. Informatics 17(8): 5511-5521 (2021) - [j21]Yankun Cao, Ziqiao Wang, Zhi Liu, Yujun Li, Xiaoyan Xiao, Longkun Sun, Yang Zhang, Haixia Hou, Pengfei Zhang, Guang Yang:
Multiparameter Synchronous Measurement With IVUS Images for Intelligently Diagnosing Coronary Cardiac Disease. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j20]Chengjin Yu, Zhifan Gao, Weiwei Zhang, Guang Yang, Shu Zhao, Heye Zhang, Yanping Zhang, Shuo Li:
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping. IEEE Trans. Neural Networks Learn. Syst. 32(2): 493-506 (2021) - [c36]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS 2021: 510-514 - [c35]Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. CBMS 2021: 521-526 - [c34]Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. FIMH 2021: 55-62 - [i35]Guang Yang, Qinghao Ye, Jun Xia:
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond. CoRR abs/2102.01998 (2021) - [i34]Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. CoRR abs/2104.13214 (2021) - [i33]Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study. CoRR abs/2104.14506 (2021) - [i32]Jun Chen, Guang Yang, Habib Khan, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan:
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets. CoRR abs/2105.00234 (2021) - [i31]Guang Yang, Jun Lv, Yutong Chen, Jiahao Huang, Jin Zhu:
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging - Mini Review, Comparison and Perspectives. CoRR abs/2105.01800 (2021) - [i30]Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang:
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction. CoRR abs/2105.08175 (2021) - [i29]Yinzhe Wu, Zeyu Tang, Binghuan Li, David N. Firmin, Guang Yang:
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives. CoRR abs/2106.15707 (2021) - [i28]Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang:
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss. CoRR abs/2107.09989 (2021) - [i27]Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang:
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution. CoRR abs/2108.03920 (2021) - [i26]Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang:
Synthetic Velocity Mapping Cardiac MRI Coupled with Automated Left Ventricle Segmentation. CoRR abs/2110.01304 (2021) - [i25]Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR abs/2112.04984 (2021) - [i24]Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. CoRR abs/2112.05758 (2021) - 2020
- [j19]Yongfeng Wang, Wenwen Yue, Xiaolong Li, Shuyu Liu, Lehang Guo, Huixiong Xu, Heye Zhang, Guang Yang:
Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images. IEEE Access 8: 52010-52017 (2020) - [j18]Abder-Rahman Ali, Jingpeng Li, Guang Yang:
Automating the ABCD Rule for Melanoma Detection: A Survey. IEEE Access 8: 83333-83346 (2020) - [j17]Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang:
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. IEEE Access 8: 118869-118883 (2020) - [j16]Yongkai Liu, Guang Yang, Melina Hosseiny, Afshin Azadikhah, Sohrab Afshari Mirak, Qi Miao, Steven S. Raman, Kyung Hyun Sung:
Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation. IEEE Access 8: 151817-151828 (2020) - [j15]Ming Li, Chengjia Wang, Heye Zhang, Guang Yang:
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis. Comput. Biol. Medicine 120: 103728 (2020) - [j14]Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan:
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. Future Gener. Comput. Syst. 107: 215-228 (2020) - [j13]Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, Bo Wei, Yongming Li, Pin Wang, Wade Menpes-Smith, Zhangming Niu, Guang Yang:
SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Frontiers Neuroinformatics 14: 611666 (2020) - [j12]Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang:
Atrial scar quantification via multi-scale CNN in the graph-cuts framework. Medical Image Anal. 60 (2020) - [j11]Zhifan Gao, Heye Zhang, Shizhou Dong, Shanhui Sun, Xin Wang, Guang Yang, Wanqing Wu, Shuo Li, Victor Hugo C. de Albuquerque:
Salient Object Detection in the Distributed Cloud-Edge Intelligent Network. IEEE Netw. 34(2): 216-224 (2020) - [j10]Abder-Rahman Ali, Jingpeng Li, Guang Yang, Sally Jane O'Shea:
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images. PeerJ Comput. Sci. 6: e268 (2020) - [j9]Meijun Yang, Xiaoyan Xiao, Zhi Liu, Longkun Sun, Wei Guo, Lizhen Cui, Dianmin Sun, Pengfei Zhang, Guang Yang:
Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification. Sci. Program. 2020: 7025403:1-7025403:6 (2020) - [j8]Chengjia Wang, Shizhou Dong, Xiaofeng Zhao, Giorgos Papanastasiou, Heye Zhang, Guang Yang:
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT. IEEE Trans. Ind. Informatics 16(4): 2667-2676 (2020) - [j7]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Dhanjoo N. Ghista, Heye Zhang, Shuo Li:
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning. IEEE Trans. Medical Imaging 39(12): 4322-4334 (2020) - [c33]Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. BMVC 2020 - [c32]Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang:
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. MICCAI (2) 2020: 167-177 - [i23]Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan:
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention. CoRR abs/2002.00440 (2020) - [i22]Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang:
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images. CoRR abs/2004.06689 (2020) - [i21]Yifeng Guo, Chengjia Wang, Heye Zhang, Guang Yang:
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness. CoRR abs/2006.12915 (2020) - [i20]Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. CoRR abs/2008.01967 (2020) - [i19]Yinzhe Wu, Suzan Hatipoglu, Diego Alonso-Álvarez, Peter Gatehouse, David N. Firmin, Jennifer Keegan, Guang Yang:
Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR. CoRR abs/2012.12188 (2020)
2010 – 2019
- 2019
- [j6]Yongkai Liu, Kyung Hyun Sung, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman:
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. IEEE Access 7: 163626-163632 (2019) - [j5]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [c31]Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas P. Trappenberg, Xujiong Ye:
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. IJCNN 2019: 1-7 - [c30]Chengjia Wang, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Guang Yang, Calum D. Gray, David E. Newby, Gillian Macnaught, Tom J. MacGillivray:
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI 2019: 245-254 - [c29]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. MICCAI (2) 2019: 449-457 - [c28]Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Guang Yang, Jennifer Keegan:
Discriminative Consistent Domain Generation for Semi-supervised Learning. MICCAI (2) 2019: 595-604 - [c27]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. MICCAI (2) 2019: 678-686 - [i18]Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang:
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework. CoRR abs/1902.07877 (2019) - [i17]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i16]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. CoRR abs/1907.10032 (2019) - [i15]Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David N. Firmin, Guang Yang, Jennifer Keegan:
Discriminative Consistent Domain Generation for Semi-supervised Learning. CoRR abs/1907.10267 (2019) - [i14]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. CoRR abs/1907.11292 (2019) - [i13]Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye:
MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks. CoRR abs/1909.06337 (2019) - [i12]Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven S. Raman, Kyung Hyun Sung:
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention. CoRR abs/1911.00127 (2019) - 2018
- [j4]Mohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, Nigel M. Allinson, Timothy L. Jones, Thomas R. Barrick, Franklyn A. Howe, Xujiong Ye:
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#. Comput. Methods Programs Biomed. 157 (2018) - [j3]Guang Yang, Simiao Yu, Hao Dong, Gregory G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, Yike Guo, David N. Firmin:
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37(6): 1310-1321 (2018) - [c26]Shizhong Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, Shuo Li:
Holistic and Deep Feature Pyramids for Saliency Detection. BMVC 2018: 67 - [c25]Min Li, Shizhong Dong, Kun Zhang, Zhifan Gao, Xi Wu, Heye Zhang, Guang Yang, Shuo Li:
Deep Learning intra-image and inter-images features for Co-saliency detection. BMVC 2018: 291 - [c24]Guang Yang, Jun Chen, Zhifan Gao, Heye Zhang, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin:
Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images. EMBC 2018: 1123-1127 - [c23]Nathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models. SASHIMI@MICCAI 2018: 130-138 - [c22]Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. STACOM@MICCAI 2018: 152-160 - [c21]Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby:
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. STACOM@MICCAI 2018: 191-199 - [c20]Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. MICCAI (1) 2018: 232-240 - [c19]Jo Schlemper, Guang Yang, Pedro Ferreira, Andrew Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert:
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. MICCAI (1) 2018: 295-303 - [c18]Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin:
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. MICCAI (2) 2018: 455-463 - [c17]Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo:
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. MICCAI (4) 2018: 561-568 - [c16]Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng:
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. MICCAI (4) 2018: 569-577 - [c15]Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. MICCAI (4) 2018: 604-612 - [e1]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - [i11]Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby:
A two-stage 3D Unet framework for multi-class segmentation on full resolution image. CoRR abs/1804.04341 (2018) - [i10]Jo Schlemper, Guang Yang, Pedro Ferreira, Andrew Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert:
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. CoRR abs/1805.12064 (2018) - [i9]Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin:
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. CoRR abs/1806.04597 (2018) - [i8]Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. CoRR abs/1806.11216 (2018) - [i7]Nathan J. Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. CoRR abs/1808.07592 (2018) - [i6]Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images. CoRR abs/1810.09075 (2018) - [i5]Lei Li, Fuping Wu, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial scars segmentation via potential learning in the graph-cuts framework. CoRR abs/1810.09123 (2018) - 2017
- [j2]Mohammadreza Soltaninejad, Guang Yang, Tryphon Lambrou, Nigel M. Allinson, Timothy L. Jones, Thomas R. Barrick, Franklyn A. Howe, Xujiong Ye:
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI. Int. J. Comput. Assist. Radiol. Surg. 12(2): 183-203 (2017) - [c14]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. ISBI 2017: 844-848 - [c13]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. Medical Imaging: Computer-Aided Diagnosis 2017: 101340O - [c12]Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh:
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Medical Imaging: Computer-Aided Diagnosis 2017: 101341R - [c11]Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye:
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks. BrainLes@MICCAI 2017: 204-215 - [c10]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. Medical Imaging: Image Processing 2017: 1013313 - [c9]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. MIUA 2017: 195-206 - [c8]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. MIUA 2017: 506-517 - [i4]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR abs/1705.03820 (2017) - [i3]Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo:
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR abs/1705.07137 (2017) - [i2]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Rick Wage, Xujiong Ye, Greg G. Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin:
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. CoRR abs/1705.09529 (2017) - 2016
- [c7]Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin:
Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. ICISP 2016: 179-190 - [c6]Muhammad Asad, Guang Yang, Gregory G. Slabaugh:
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging. ISBI 2016: 436-439 - [c5]Guang Yang, Xujiong Ye, Greg G. Slabaugh, Jennifer Keegan, Raad Mohiaddin, David N. Firmin:
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images. Medical Imaging: Image Processing 2016: 97840L - 2015
- [j1]Guang Yang, Tahir Nawaz, Thomas R. Barrick, Franklyn A. Howe, Gregory G. Slabaugh:
Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy. IEEE Trans. Biomed. Eng. 62(12): 2860-2866 (2015) - 2014
- [c4]Guang Yang, Felix Raschke, Thomas R. Barrick, Franklyn A. Howe:
Classification of brain tumour 1H MR spectra: Extracting features by metabolite quantification or nonlinear manifold learning? ISBI 2014: 1039-1042 - [c3]Mohammadreza Soltaninejad, Xujiong Ye, Guang Yang, Nigel M. Allinson, Tryphon Lambrou:
Brain Tumour Grading in Different MRI Protocols using SVM on Statistical Features. MIUA 2014: 259-264 - 2013
- [i1]Guang Yang, John H. Hipwell, David J. Hawkes, Simon R. Arridge:
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis. CoRR abs/1307.6008 (2013) - 2012
- [b1]Guang Yang:
Numerical approaches for solving the combined reconstruction and registration of digital breast tomosynthesis. University College London, UK, 2012 - [c2]Guang Yang, John H. Hipwell, Christine Tanner, David J. Hawkes, Simon R. Arridge:
Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 713-720 - 2010
- [c1]Guang Yang, John H. Hipwell, Matthew J. Clarkson, Christine Tanner, Thomy Mertzanidou, Spencer Gunn, Sébastien Ourselin, David J. Hawkes, Simon R. Arridge:
Combined Reconstruction and Registration of Digital Breast Tomosynthesis. Digital Mammography / IWDM 2010: 760-768
Coauthor Index