Guang Yang
Guang Yang
Senior Research Fellow, National Heart & Lung Institute, Imperial College London
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4932018
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
4172018
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
3952017
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
1532017
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
812020
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
742019
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
662018
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
652019
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
652018
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
502014
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
422019
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
422017
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
J Schlemper, G Yang, P Ferreira, A Scott, LA McGill, Z Khalique, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
382018
Discrimination between glioblastoma multiforme and solitary metastasis using morphological features derived from the p:q tensor decomposition of diffusion tensor imaging
G Yang, TL Jones, TR Barrick, FA Howe
NMR in Biomedicine 27 (9), 1103-1111, 2014
372014
Morphometric model for discrimination between glioblastoma multiforme and solitary metastasis using three‐dimensional shape analysis
G Yang, TL Jones, FA Howe, TR Barrick
Magnetic Resonance in Medicine 75 (6), 2505-2516, 2016
352016
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
332019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
L Li, F Wu, G Yang, L Xu, T Wong, R Mohiaddin, D Firmin, J Keegan, ...
Medical Image Analysis, 2019
282019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
L Li, F Wu, G Yang, L Xu, T Wong, R Mohiaddin, D Firmin, J Keegan, ...
arXiv preprint arXiv:1902.07877, 2019
282019
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 …, 2017
272017
Manifold learning in MR spectroscopy using nonlinear dimensionality reduction and unsupervised clustering
G Yang, F Raschke, TR Barrick, FA Howe
Magnetic resonance in medicine 74 (3), 868-878, 2015
272015
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Articles 1–20