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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.uni-trier.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 — University of Cambridge, UK (and 2 more)
- Guang Yang 0019 — Nantong University, School of Information Science and Technology, China
- Guang Yang 0020 — Conflux - Tree-Graph Blockchain Research Institute, Shanghai, China (and 3 more)
- Guang Yang 0021 — Inner Mongolia Electric Power Science and Research Institute, Hohhot, Inner Mongolia, China
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Books and Theses
- 2012
[b1]Guang Yang:
Numerical approaches for solving the combined reconstruction and registration of digital breast tomosynthesis. University College London, UK, 2012
Journal Articles
- 2024
- [j71]Shanfu Lu, Ziye Yan, Wei Chen, Tingting Cheng, Zijian Zhang, Guang Yang:
Dual consistency regularization with subjective logic for semi-supervised medical image segmentation. Comput. Biol. Medicine 170: 107991 (2024) - [j70]Somiya Rani, Amita Jain, Akshi Kumar, Guang Yang:
CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j69]Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin:
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Inf. Sci. 657: 120007 (2024) - [j68]Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang:
Automated molecular structure segmentation from documents using ChemSAM. J. Cheminformatics 16(1): 29 (2024) - [j67]Sanuwani Dayarathna, Kh Tohidul Islam, Sergio Uribe, Guang Yang, Munawar Hayat, Zhaolin Chen:
Deep learning based synthesis of MRI, CT and PET: Review and analysis. Medical Image Anal. 92: 103046 (2024) - [j66]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is Attention all You Need in Medical Image Analysis? A Review. IEEE J. Biomed. Health Informatics 28(3): 1398-1411 (2024) - 2023
- [j65]Hanxiao Zhang, Minghui Zhang, Yun Gu, Guang Yang:
Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1287-1294 (2023) - [j64]Sanjay Kumar, Abhishek Mallik, Akshi Kumar, Javier Del Ser, Guang Yang:
Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals. Comput. Biol. Medicine 153: 106511 (2023) - [j63]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241]. Comput. Biol. Medicine 163: 107047 (2023) - [j62]Biao Zhao, Weiqiang Jin, Javier Del Ser, Guang Yang:
ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification. Neurocomputing 557: 126708 (2023) - [j61]Jingyu Zhu, Jianming Ye, Leshui Dong, Xiaofei Ma, Na Tang, Peng Xu, Wei Jin, Ruipeng Li, Guang Yang, Xiaobo Lai:
Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. Int. J. Imaging Syst. Technol. 33(4): 1261-1274 (2023) - [j60]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36(2): 739-752 (2023) - [j59]Biao Zhao, Weiqiang Jin, Yu Zhang, Subin Huang, Guang Yang:
Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models. Knowl. Based Syst. 279: 110928 (2023) - [j58]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j57]Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb:
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5(7): 681-686 (2023) - [j56]Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakun Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang:
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus. Neural Comput. Appl. 35(22): 16011-16020 (2023) - [j55]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. Neural Comput. Appl. 35(30): 22071-22085 (2023) - [j54]Yang Li, Yue Zhang, Jingyu Liu, Kang Wang, Kai Zhang, Gen-Sheng Zhang, Xiaofeng Liao, Guang Yang:
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation. IEEE Trans. Cybern. 53(9): 5826-5839 (2023) - [j53]Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang:
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 26-35 (2023) - [j52]Weiwei Zhang, Zhen Zhou, Zhifan Gao, Guang Yang, Lei Xu, Weiwen Wu, Heye Zhang:
Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT. IEEE J. Biomed. Health Informatics 27(1): 409-420 (2023) - [j51]Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. IEEE J. Biomed. Health Informatics 27(10): 5015-5022 (2023) - [j50]Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. IEEE J. Biomed. Health Informatics 27(10): 5134-5142 (2023) - [j49]Gang Wang, Mingliang Zhou, Xuekai Wei, Guang Yang:
Vehicular Abandoned Object Detection Based on VANET and Edge AI in Road Scenes. IEEE Trans. Intell. Transp. Syst. 24(12): 14254-14266 (2023) - [j48]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. IEEE Trans. Medical Imaging 42(6): 1859-1874 (2023) - [j47]Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. IEEE Trans. Medical Imaging 42(9): 2566-2576 (2023) - 2022
- [j46]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. Appl. Intell. 52(13): 14693-14710 (2022) - [j45]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. Appl. Soft Comput. 116: 108291 (2022) - [j44]Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai:
3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework. BMC Medical Imaging 22(1): 6 (2022) - [j43]Bin Yan, Yang Li, Lin Li, Xiaocheng Yang, Tie-Qiang Li, Guang Yang, Mingfeng Jiang:
Quantifying the impact of Pyramid Squeeze Attention mechanism and filtering approaches on Alzheimer's disease classification. Comput. Biol. Medicine 148: 105944 (2022) - [j42]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Human treelike tubular structure segmentation: A comprehensive review and future perspectives. Comput. Biol. Medicine 151(Part): 106241 (2022) - [j41]Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang:
Swin transformer for fast MRI. Neurocomputing 493: 281-304 (2022) - [j40]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) - [j39]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j38]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j37]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic fine-grained glomerular lesion recognition in kidney pathology. Pattern Recognit. 127: 108648 (2022) - [j36]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. Sensors 22(6): 2125 (2022) - [j35]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. IEEE J. Biomed. Health Informatics 26(1): 103-114 (2022) - [j34]Jun Chen, Heye Zhang, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan, Guang Yang:
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data. IEEE Trans. Medical Imaging 41(2): 420-433 (2022) - [j33]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. IEEE Trans. Medical Imaging 41(12): 3799-3811 (2022) - [j32]Jingyu Hao, Chengjia Wang, Guang Yang, Zhifan Gao, Jinglin Zhang, Heye Zhang:
Annealing Genetic GAN for Imbalanced Web Data Learning. IEEE Trans. Multim. 24: 1164-1174 (2022) - 2021
- [j31]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) - [j30]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) - [j29]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) - [j28]Guang Yang, Heye Zhang, David N. Firmin, Shuo Li:
Recent advances in artificial intelligence for cardiac imaging. Comput. Medical Imaging Graph. 90: 101928 (2021) - [j27]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) - [j26]Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio':
Arbitrary Scale Super-Resolution for Medical Images. Int. J. Neural Syst. 31(10): 2150037:1-2150037:20 (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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2023
- [c61]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CBMS 2023: 523-528 - [c60]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for fast MRI. ISBI 2023: 1-5 - [c59]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3d CT Super-Resolution? ISBI 2023: 1-4 - [c58]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? MICCAI (10) 2023: 3-12 - [c57]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. MICCAI (5) 2023: 13-22 - [c56]Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao:
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. MICCAI (7) 2023: 110-120 - [c55]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. SIPAIM 2023: 1-5 - [c54]Lichao Wang, Jiahao Huang, Xiaodan Xing, Guang Yang:
Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation. SIPAIM 2023: 1-5 - [c53]Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang:
High Accuracy and Cost-Saving Active Learning: 3D WD-UNet for Airway Segmentation. SIPAIM 2023: 1-5 - [c52]Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin:
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. STACOM@MICCAI 2023: 293-302 - 2022
- [c51]Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang:
Fast MRI Reconstruction: How Powerful Transformers Are? EMBC 2022: 2066-2070 - [c50]Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun, Gloria Menegaz:
Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges. ICIP 2022: 1531-1535 - [c49]Shiyi Wang, Guang Yang:
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans. IPAS 2022: 1-5 - [c48]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [c47]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. MICCAI (8) 2022: 3-12 - [c46]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. MICCAI (6) 2022: 538-548 - [c45]Xiaodan Xing, Yinzhe Wu, David N. Firmin, Peter Gatehouse, Guang Yang:
Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation. Medical Imaging: Image Processing 2022 - [c44]Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction. MIUA 2022: 101-115 - [c43]Hao Li, Yang Nan, Guang Yang:
LKAU-Net: 3D Large-Kernel Attention-Based U-Net for Automatic MRI Brain Tumor Segmentation. MIUA 2022: 313-327 - [c42]Michael Yeung, Todd Watts, Guang Yang:
From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. MIUA 2022: 547-561 - [c41]Michael Tänzer, Sea Hee Yook, Pedro F. Ferreira, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal. STACOM@MICCAI 2022: 123-132 - 2021
- [c40]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS 2021: 510-514 - [c39]Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. CBMS 2021: 521-526 - [c38]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 - [c37]Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang:
Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion. ICCV 2021: 7930-7939 - [c36]Guang Yang, Yang Li, Di'an Fei, Tian Huang, Qingyun Li, Xingguo Chen:
DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network. ICTAI 2021: 1474-1479 - [c35]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. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c34]Jingyu Hao, Chengjia Wang, Heye Zhang, Guang Yang:
Annealing Genetic GAN for Minority Oversampling. BMVC 2020 - [c33]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 - 2019
- [c32]Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas 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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]Jin Zhu, Guang Yang, Pietro Lió:
Lesion focused super-resolution. Medical Imaging: Image Processing 2019: 109491L - 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 F. Ferreira, Andrew D. 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 - 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 - 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 - 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 - 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
Editorship
- 2022
- [e2]Guang Yang, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb:
Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Lecture Notes in Computer Science 13413, Springer 2022, ISBN 978-3-031-12052-7 [contents] - 2018
- [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]
Informal and Other Publications
- 2024
- [i83]Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang:
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images. CoRR abs/2402.03473 (2024) - 2023
- [i82]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3D CT Super-Resolution? CoRR abs/2302.10272 (2023) - [i81]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for Fast MRI. CoRR abs/2302.10273 (2023) - [i80]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. CoRR abs/2302.10309 (2023) - [i79]Lichao Wang, Jiahao Huang, Guang Yang:
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation. CoRR abs/2302.14450 (2023) - [i78]Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i77]Xiaodan Xing, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations. CoRR abs/2303.12747 (2023) - [i76]Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang:
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR abs/2304.00996 (2023) - [i75]Xiaodan Xing, Yang Nan, Federico Felder, Simon Walsh, Guang Yang:
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? CoRR abs/2305.09789 (2023) - [i74]Biao Zhao, Weiqiang Jin, Javier Del Ser, Guang Yang:
ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification. CoRR abs/2305.15024 (2023) - [i73]Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. CoRR abs/2305.18337 (2023) - [i72]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? CoRR abs/2306.14350 (2023) - [i71]Zeyu Tang, Xiaodan Xing, Guang Yang:
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation. CoRR abs/2307.10182 (2023) - [i70]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is attention all you need in medical image analysis? A review. CoRR abs/2307.12775 (2023) - [i69]Xiaodan Xing, Chunling Tang, Yunzhe Guo, Nicholas Kurniawan, Guang Yang:
SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis. CoRR abs/2309.04190 (2023) - [i68]Lichao Wang, Jiahao Huang, Xiaodan Xing, Yinzhe Wu, Ramyah Rajakulasingam, Andrew D. Scott, Pedro F. Ferreira, Ranil De Silva, Sonia Nielles-Vallespin, Guang Yang:
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. CoRR abs/2309.15485 (2023) - [i67]Shiyi Wang, Yang Nan, Simon Walsh, Guang Yang:
High Accuracy and Cost-Saving Active Learning 3D WD-UNet for Airway Segmentation. CoRR abs/2310.05638 (2023) - [i66]Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging. CoRR abs/2310.20389 (2023) - [i65]Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang:
Dynamic Multimodal Information Bottleneck for Multimodality Classification. CoRR abs/2311.01066 (2023) - [i64]Michael Yeung, Todd Watts, Sean YW Tan, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation. CoRR abs/2311.06552 (2023) - 2022
- [i63]Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang Yang:
Swin Transformer for Fast MRI. CoRR abs/2201.03230 (2022) - [i62]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i61]Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang:
Fast MRI Reconstruction: How Powerful Transformers Are? CoRR abs/2201.09400 (2022) - [i60]Xi Zhou, Qinghao Ye, Xiaolin Yang, Jiakuan Chen, Haiqin Ma, Jun Xia, Javier Del Ser, Guang Yang:
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus. CoRR abs/2202.00650 (2022) - [i59]Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang:
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. CoRR abs/2202.07422 (2022) - [i58]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis. CoRR abs/2203.03638 (2022) - [i57]Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. CoRR abs/2203.05564 (2022) - [i56]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology. CoRR abs/2203.05847 (2022) - [i55]Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Liò, Daniel Rueckert, Yonina C. Eldar, Guang Yang:
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. CoRR abs/2204.01706 (2022) - [i54]Michael Tänzer, Pedro F. Ferreira, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction. CoRR abs/2206.10543 (2022) - [i53]Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang:
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. CoRR abs/2206.13394 (2022) - [i52]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. CoRR abs/2207.02390 (2022) - [i51]Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun, Gloria Menegaz:
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges. CoRR abs/2207.04295 (2022) - [i50]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives. CoRR abs/2207.11203 (2022) - [i49]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. CoRR abs/2207.11225 (2022) - [i48]Shiyi Wang, Guang Yang:
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans. CoRR abs/2208.02910 (2022) - [i47]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. CoRR abs/2208.02912 (2022) - [i46]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation. CoRR abs/2208.06038 (2022) - [i45]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i44]Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang:
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey. CoRR abs/2209.09239 (2022) - [i43]Michael Tänzer, Sea Hee Yook, Guang Yang, Daniel Rueckert, Sonia Nielles-Vallespin:
Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal. CoRR abs/2209.09522 (2022) - [i42]Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. CoRR abs/2210.12029 (2022) - 2021
- [i41]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) - [i40]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) - [i39]Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study. CoRR abs/2104.14506 (2021) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai:
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework. CoRR abs/2107.12046 (2021) - [i32]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) - [i31]Jun Chen, Heye Zhang, Raad Mohiaddin, Tom Wong, David N. Firmin, Jennifer Keegan, Guang Yang:
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data. CoRR abs/2109.08311 (2021) - [i30]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) - [i29]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR abs/2111.00528 (2021) - [i28]Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR abs/2111.00533 (2021) - [i27]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR abs/2111.00534 (2021) - [i26]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) - [i25]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) - [i24]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. CoRR abs/2112.12744 (2021) - 2020
- [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) - 2019
- [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
- [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 F. Ferreira, Andrew D. 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
- [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) - 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)
Coauthor Index
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