Guang Yang, IEEE Senior Member

Citado por

	Total	Desde 2018
Citas	7552	7391
Índice h	38	38
Índice i10	98	94

2900

1450

725

2175

2016201720182019202020212022202329 47 185 573 1270 2106 2869 360

Acceso público

Ver todo

111 artículos

11 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Heye ZhangSchool of Biomedical Engineering, Sun Yat-sen University; IEEE Senior MemberDirección de correo verificada de mail.sysu.edu.cn
Dr Xujiong YeUniversity of LincolnDirección de correo verificada de lincoln.ac.uk
Greg SlabaughProfessor, and Director of DERI, Queen Mary University of LondonDirección de correo verificada de qmul.ac.uk
Franklyn Arron HOWEProfessor of Magnetic Resonance Imaging, St George's, University of LondonDirección de correo verificada de sgul.ac.uk
Simon ARRIDGEUniversity College LondonDirección de correo verificada de cs.ucl.ac.uk
Yike GuoProfessor of Computing Science , Imperial College LondonDirección de correo verificada de doc.ic.ac.uk
Carola-Bibiane SchönliebDAMTP, University of CambridgeDirección de correo verificada de cam.ac.uk
Hao Dong 董豪Peking UniversityDirección de correo verificada de pku.edu.cn
Shuo LiCase Western Reserve UniversityDirección de correo verificada de case.edu
Pier Luigi DragottiProfessor, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Evandro Fei FangUniversity of Oslo, Akershus U. Hospital, National Institute on Aging (former), CUHK (former)Dirección de correo verificada de medisin.uio.no
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeDirección de correo verificada de cam.ac.uk
Daniel RueckertTechnical University of Munich and Imperial College LondonDirección de correo verificada de tum.de
Javier (Javi) Del Ser, SMIEEEResearch Professor in Artificial Intelligence (TECNALIA), Professor (UPV/EHU)Dirección de correo verificada de tecnalia.com
Hao NiProfessor of Mathematics, UCLDirección de correo verificada de ucl.ac.uk
D J HawkesProfessor of Computational Imaging, UCLDirección de correo verificada de ucl.ac.uk
Simon WalshNational Heart and Lung Institute, Imperial College, LondonDirección de correo verificada de imperial.ac.uk
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonDirección de correo verificada de kcl.ac.uk
Ge WangRensselaer Polytechnic InstituteDirección de correo verificada de rpi.edu
David FirminImperial College London

Seguir

Guang Yang, IEEE Senior Member

Advanced Research Fellow (UKRI Future Leaders Fellow), NHLI, Imperial College London

Dirección de correo verificada de imperial.ac.uk - Página principal

Medical Image Computing Pattern Recognition Machine Learning Medical Physics Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1212	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	786	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	730	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	500	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	321	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	270	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	183	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	157	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	156	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	153	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	125	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	109	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	84	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	75	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	70	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	68	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	68	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	66	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	66	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	64	2017

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores