Qian Wang

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Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Guorong WuAssociate ProfessorVerified email at med.unc.edu
Lichi ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Dong NieMeta Inc.Verified email at cs.unc.edu
Feng ShiUnited Imaging IntelligenceVerified email at uii-ai.com
Jon XueR&D VP, United Imaging IntelligenceVerified email at mias.us
Minjeong KimAssistant Professor of Computer Science, University of North Carolina at GreensboroVerified email at uncg.edu
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillVerified email at med.unc.edu
Lei XiangShanghai Jiao Tong universityVerified email at sjtu.edu.cn
Xi OuyangUnited Imaging IntelligenceVerified email at sjtu.edu.cn
Xiaohuan CaoUnited Imaging Intelligence, ShanghaiVerified email at united-imaging.com
Han ZhangShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Yaozong GaoUnited Imaging Intelligence (UII), ShanghaiVerified email at united-imaging.com
Jiayu HuoBiomedical Engineering & Imaging Sciences, King’s College LondonVerified email at kcl.ac.uk
Yiqiang ZhanSiemensVerified email at siemens.com
Weili LinDirector and Professor, Biomedical Research Imaging Center, University of North Carolina at ChapelVerified email at med.unc.edu
Hongjun JiaUniversity of North CarolinaVerified email at unc.edu
Jun LianUNC Chapel HillVerified email at med.unc.edu
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillVerified email at med.unc.edu
Jun WangShanghai UniversityVerified email at shu.edu.cn

Qian Wang

School of Biomedical Engineering, ShanghaiTech University

Verified email at shanghaitech.edu.cn - Homepage

Medical Image Analysis Medical Image Computing Biomedical Image Analysis Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19 F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen IEEE reviews in biomedical engineering 14, 4-15, 2020	1324	2020
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	799	2017
Medical image synthesis with deep convolutional adversarial networks D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018	519	2018
Dual-sampling attention network for diagnosis of COVID-19 from community acquired pneumonia X Ouyang, J Huo, L Xia, F Shan, J Liu, Z Mo, F Yan, Z Ding, Q Yang, ... IEEE Transactions on Medical Imaging 39 (8), 2595-2605, 2020	364	2020
Scalable high-performance image registration framework by unsupervised deep feature representations learning G Wu, M Kim, Q Wang, BC Munsell, D Shen IEEE Transactions on Biomedical Engineering 63 (7), 1505-1516, 2015	320	2015
A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019	307	2019
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI L Xiang, Y Qiao, D Nie, L An, W Lin, Q Wang, D Shen Neurocomputing 267, 406-416, 2017	252	2017
Deformable image registration based on similarity-steered CNN regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	233	2017
Unsupervised deep feature learning for deformable registration of MR brain images G Wu, M Kim, Q Wang, Y Gao, S Liao, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2013	189	2013
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao, D Shen Medical image analysis 47, 31-44, 2018	170	2018
Integration of network topological and connectivity properties for neuroimaging classification B Jie, D Zhang, W Gao, Q Wang, CY Wee, D Shen IEEE transactions on biomedical engineering 61 (2), 576-589, 2013	155	2013
Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu, Q Wang, J Wu, ... Scientific reports 9 (1), 1103, 2019	149	2019
Interleaved 3D‐CNN s for joint segmentation of small‐volume structures in head and neck CT images X Ren, L Xiang, D Nie, Y Shao, H Zhang, D Shen, Q Wang Medical physics 45 (5), 2063-2075, 2018	142	2018
Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma L Huang, L Wang, X Hu, S Chen, Y Tao, H Su, J Yang, W Xu, ... Nature communications 11 (1), 3556, 2020	139	2020
A generative probability model of joint label fusion for multi-atlas based brain segmentation G Wu, Q Wang, D Zhang, F Nie, H Huang, D Shen Medical image analysis 18 (6), 881-890, 2014	139	2014
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration G Wu, H Jia, Q Wang, D Shen NeuroImage 56 (4), 1968-1981, 2011	132	2011
ABSORB: Atlas building by self-organized registration and bundling H Jia, G Wu, Q Wang, D Shen NeuroImage 51 (3), 1057-1070, 2010	130	2010
Transformers in medical image analysis K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen Intelligent Medicine 3 (1), 59-78, 2023	119	2023
Adversarial learning for mono-or multi-modal registration J Fan, X Cao, Q Wang, PT Yap, D Shen Medical image analysis 58, 101545, 2019	119	2019
Deformable Image Registration Using a Cue-Aware Deep Regression Network X Cao, J Yang, J Zhang, Q Wang, PT Yap, D Shen IEEE Transactions on Biomedical Engineering 65 (9), 1900-1911, 2018	119	2018

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