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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://dblp1.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 — Boston University, Boston, MA, USA
- 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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2020 – today
- 2023
[j57]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)- [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [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) - [c52]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 - [c51]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for fast MRI. ISBI 2023: 1-5 - [c50]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3d CT Super-Resolution? ISBI 2023: 1-4 - [i76]Weixun Luo, Xiaodan Xing, Guang Yang:
Is Autoencoder Truly Applicable for 3D CT Super-Resolution? CoRR abs/2302.10272 (2023) - [i75]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for Fast MRI. CoRR abs/2302.10273 (2023) - [i74]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. CoRR abs/2302.10309 (2023) - [i73]Lichao Wang, Jiahao Huang, Guang Yang:
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation. CoRR abs/2302.14450 (2023) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]Zeyu Tang, Xiaodan Xing, Guang Yang:
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation. CoRR abs/2307.10182 (2023) - [i64]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) - [i63]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) - 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) - [c49]Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang:
Fast MRI Reconstruction: How Powerful Transformers Are? EMBC 2022: 2066-2070 - [c48]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 - [c47]Shiyi Wang, Guang Yang:
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans. IPAS 2022: 1-5 - [c46]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [c45]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 - [c44]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. MICCAI (6) 2022: 538-548 - [c43]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 - [c42]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 - [c41]Michael Yeung, Todd Watts, Guang Yang:
From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. MIUA 2022: 547-561 - [c40]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 - [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] - [i62]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) - [i61]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) - [i60]Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang:
Fast MRI Reconstruction: How Powerful Transformers Are? CoRR abs/2201.09400 (2022) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. CoRR abs/2207.02390 (2022) - [i50]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) - [i49]Hao Li, Zeyu Tang, Yang Nan, Guang Yang:
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives. CoRR abs/2207.11203 (2022) - [i48]Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. CoRR abs/2207.11225 (2022) - [i47]Shiyi Wang, Guang Yang:
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans. CoRR abs/2208.02910 (2022) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. CoRR abs/2210.12029 (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) - [c39]Chengjia Wang, Guang Yang, Giorgos Papanastasiou:
FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks. CBMS 2021: 510-514 - [c38]Qinghao Ye, Jun Xia, Guang Yang:
Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study. CBMS 2021: 521-526 - [c37]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 - [c36]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 - [c35]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 - [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]