Xiaoqun Zhang 个人学术档案

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Qiaoqiao DingShanghai Jiao Tong Uinversity在 sjtu.edu.cn 的电子邮件经过验证
T F ChanPresident, King Abdullah University of Science & Technology在 kaust.edu.sa 的电子邮件经过验证
Martin BurgerDeutsches Elektronen-Synchrotron DESY und Universität Hamburg在 uni-hamburg.de 的电子邮件经过验证
Hao GaoDepartment of Radiation Oncology, University of Kansas在 kumc.edu 的电子邮件经过验证
S osher在 math.ucla.edu 的电子邮件经过验证
Jingwei LiangShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Zuowei ShenNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Bin DongBeijing International Center for Mathematical Research, Peking University在 math.pku.edu.cn 的电子邮件经过验证
Xavier BressonAssoc Prof of Computer Science, NUS & Distinguished Researcher at Element Inc在 nus.edu.sg 的电子邮件经过验证
Jianwei MaProfessor, School of Earth and Space Sciences, Peking University; Harbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
Jiulong LiuAcademy of Mathematics and System Sciences在 lsec.cc.ac.cn 的电子邮件经过验证
Jinglai LiUniversity of Birmingham在 bham.ac.uk 的电子邮件经过验证
Yifei LouUniversity of North Carolina at Chapel Hill在 unc.edu 的电子邮件经过验证
Andrea BertozziProf. of Math. and Mech. & Aero. Eng., Betsy Wood Knapp Chair for Innovation and Creativity, UCLA在 math.ucla.edu 的电子邮件经过验证
Chenglong BaoYau Mathematical Sciences Center, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Jacques FromentProfesseur, Université Bretagne Sud, LMBA UMR 6205在 univ-ubs.fr 的电子邮件经过验证
Rujie YinPh.D. of Mathematics, Duke University在 duke.edu 的电子邮件经过验证
Hongkai ZhaoProfessor of Mathematics, Duke University在 math.duke.edu 的电子邮件经过验证
Xue-Cheng TaiNorwegian Research Center (NORCE)在 norceresearch.no 的电子邮件经过验证
Huibin ChangSchool of Mathematical Sciences, Tianjin Normal University在 mail.tjnu.edu.cn 的电子邮件经过验证

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Xiaoqun Zhang

Shanghai Jiao Tong University

在 sjtu.edu.cn 的电子邮件经过验证

Imaging sciences inverse problems optimization compressive sensing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science E Esser, X Zhang, T Chan SIAM Journal on Imaging Sciences 3 (4), 1015-1046, 2010	852*	2010
Bregmanized nonlocal regularization for deconvolution and sparse reconstruction X Zhang, M Burger, X Bresson, S Osher SIAM Journal on Imaging Sciences 3 (3), 253-276, 2010	799	2010
A unified primal-dual algorithm framework based on Bregman iteration X Zhang, M Burger, S Osher Journal of Scientific Computing 46, 20-46, 2011	485	2011
Image recovery via nonlocal operators Y Lou, X Zhang, S Osher, A Bertozzi Journal of Scientific Computing 42 (2), 185-197, 2010	426	2010
A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration P Chen, J Huang, X Zhang Inverse Problems 29 (2), 33, 2013	235	2013
Interpolation and denoising of high-dimensional seismic data by learning a tight frame S Yu, J Ma, X Zhang, MD Sacchi Geophysics 80 (5), V119-V132, 2015	161	2015
Source reconstruction for spectrally-resolved bioluminescence tomography with sparse a priori information Y Lu, X Zhang, A Douraghy, D Stout, J Tian, TF Chan, AF Chatziioannou Optics express 17 (10), 8062-8080, 2009	129	2009
Seismic data restroration via data-driven tight frame J Liang, J Ma, X Zhang Geophysics 7 (3), 2014	120	2014
Wavelet inpainting by nonlocal total variation X Zhang, TF Chan Inverse problems and Imaging 4 (1), 191-210, 2010	118	2010
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis K Hu, Y Wang, K Chen, L Hou, X Zhang Neurocomputing 175, 132-145, 2016	88	2016
A primal-dual fixed point algorithm for minimization of the sum of three convex separable functions P Chen, J Huang, X Zhang Fixed Point Theory and Applications 2016, 1-18, 2016	74	2016
A reweighted l2 method for image restoration with Poisson and mixed Poisson-Gaussian noise J Li, Z Shen, R Yin, X Zhang Inverse Problems and Imaging 9 (3), 875 - 894, 2015	71	2015
TICMR: Total image constrained material reconstruction via nonlocal total variation regularization for spectral CT J Liu, H Ding, S Molloi, X Zhang, H Gao IEEE transactions on medical imaging 35 (12), 2578-2586, 2016	57	2016
AirNet: fused analytical and iterative reconstruction with deep neural network regularization for sparse‐data CT G Chen, X Hong, Q Ding, Y Zhang, H Chen, S Fu, Y Zhao, X Zhang, H Ji, ... Medical physics 47 (7), 2916-2930, 2020	56	2020
A Novel Sparsity Reconstruction Method from Poisson Data for 3D Bioluminescence Tomography X Zhang, Y Lu, T Chan Journal of Scientific Computing, 1-17, 2012	56	2012
Retinex by Higher Order Total Variation Decomposition J Liang, X Zhang Journal of Mathematical imaging and vision 52 (3), 345-355, 2015	55	2015
Image restoration by minimizing zero norm of wavelet frame coefficients C Bao, B Dong, L Hou, Z Shen, X Zhang, X Zhang Inverse problems 32 (11), 115004, 2016	46	2016
5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography J Liu, X Zhang, X Zhang, H Zhao, Y Gao, D Thomas, DA Low, H Gao Inverse Problems 31 (11), 115007, 2015	45	2015
Low-dose CT with deep learning regularization via proximal forward–backward splitting Q Ding, G Chen, X Zhang, Q Huang, H Ji, H Gao Physics in Medicine & Biology 65 (12), 125009, 2020	39	2020
Image‐domain multimaterial decomposition for dual‐energy CT based on prior information of material images Q Ding, T Niu, X Zhang, Y Long Medical physics 45 (8), 3614-3626, 2018	38	2018

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