Guang Yang, IEEE Senior Member
Guang Yang, IEEE Senior Member
Advanced Research Fellow (UKRI Future Leaders Fellow), NHLI, Imperial College London
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Citado por
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
DAGAN: Deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction
G Yang, S Yu, H Dong, G Slabaugh, PL Dragotti, X Ye, F Liu, S Arridge, ...
IEEE Transactions on Medical Imaging 37 (6), 1310-1321, 2018
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
H Dong, G Yang, F Liu, Y Mo, Y Guo
Annual Conference on Medical Image Understanding and Analysis …, 2017
Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence, 2021
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, ...
IEEE Access, 118869-118883, 2020
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
M Soltaninejad, G Yang, T Lambrou, N Allinson, TL Jones, TR Barrick, ...
International journal of computer assisted radiology and surgery 12 (2), 183-203, 2017
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
X Zhuang, L Li, C Payer, D Stern, M Urschler, MP Heinrich, J Oster, ...
Medical Image Analysis, 2019
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels
M Soltaninejad, G Yang, T Lambrou, N Allinson, TL Jones, TR Barrick, ...
Computer Methods and Programs in Biomedicine, 2018
A research agenda for ageing in China in the 21st century: Focusing on basic and translational research, long-term care, policy and social networks
EF Fang, C Xie, JA Schenkel, C Wu, Q Long, H Cui, Y Aman, J Frank, ...
Ageing Research Reviews, 101174, 2020
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
G Yang, Q Ye, J Xia
Information Fusion, 2021
Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI
N Zhang*(Co-first), G Yang*(Co-first), Z Gao, C Xu, Y Zhang, R Shi, ...
Radiology, 2019
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
M Seitzer, G Yang, J Schlemper, O Oktay, T Wuerfl, V Christlein, T Wong, ...
Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), 2018
SaliencyGAN: Deep Learning Semi-supervised Salient Object Detection in the Fog of IoT
C Wang, S Dong, Z Feng, G Papanastasiou, H Zhang, G Yang
IEEE Transactions on Industrial Informatics, 2019
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
Y Liu, G Yang, SA Mirak, M Hosseiny, A Azadikhah, X Zhong, R Reiter, ...
IEEE Access, 163626-163632, 2019
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention
G Yang, J Chen, Z Gao, S Li, H Ni, E Angelini, T Wong, R Mohiaddin, ...
Future Generation Computer Systems, 2020
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
J Zhu, G Yang, P Lió
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks
M Soltaninejad, L Zhang, T Lambrou, G Yang, N Allinson, X Ye
Medical Image Computing and Computer Assisted Intervention MICCAI 2017 …, 2018
A two-stage 3D Unet framework for multi-class segmentation on full resolution image
C Wang, T MacGillivray, G Macnaught, G Yang, D Newby
Medical Image Computing and Computer Assisted Intervention MICCAI 2018 …, 2018
Brain tumor classification using the diffusion tensor image segmentation (D-SEG) technique
TL Jones, TJ Byrnes, G Yang, FA Howe, BA Bell, TR Barrick
Neuro-oncology 17 (3), 466-476, 2014
Deep De-Aliasing for Fast Compressive Sensing MRI
S Yu, H Dong, G Yang, G Slabaugh, PL Dragotti, X Ye, F Liu, S Arridge, ...
arXiv preprint arXiv:1705.07137, 2017
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