A new detail-preserving regularization scheme W Guo, J Qin, W Yin SIAM journal on imaging sciences 7 (2), 1309-1334, 2014 | 220 | 2014 |
Poisson image denoising based on fractional-order total variation M Rahman Chowdhury, J Zhang, J Qin, Y Lou Inverse Problems & Imaging 14 (1), 2020 | 51 | 2020 |
Non-blind and blind deconvolution under poisson noise using fractional-order total variation MR Chowdhury, J Qin, Y Lou Journal of Mathematical Imaging and Vision 62 (9), 1238-1255, 2020 | 42 | 2020 |
Blind hyperspectral unmixing based on graph total variation regularization J Qin, H Lee, JT Chi, L Drumetz, J Chanussot, Y Lou, AL Bertozzi IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3338-3351, 2020 | 33 | 2020 |
A novel regularization based on the error function for sparse recovery W Guo, Y Lou, J Qin, M Yan Journal of Scientific Computing 87 (1), 31, 2021 | 29 | 2021 |
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity F Li, S Osher, J Qin, M Yan Journal of Scientific Computing 69 (1), 82-106, 2016 | 28 | 2016 |
Regularized Kaczmarz Algorithms for Tensor Recovery X Chen, J Qin SIAM Journal on Imaging Sciences 14 (4), 1439-1471, 2021 | 25 | 2021 |
s-SMOOTH: Sparsity and smoothness enhanced EEG brain tomography Y Li, J Qin, YL Hsin, S Osher, W Liu Frontiers in neuroscience 10, 543, 2016 | 23 | 2016 |
A robust fuzzy local information and -norm distance based image segmentation method F Li, J Qin IET Image Processing 11 (4), 217-226, 2017 | 18 | 2017 |
Domain decomposition method for image deblurring J Xu, HB Chang, J Qin Journal of computational and applied mathematics 271, 401-414, 2014 | 17 | 2014 |
Iterative hard thresholding for low CP-rank tensor models R Grotheer, S Li, A Ma, D Needell, J Qin Linear and Multilinear Algebra, 1-17, 2021 | 15 | 2021 |
Stochastic Greedy Algorithms For Multiple Measurement Vectors J Qin, S Li, D Needell, A Ma, R Grotheer, C Huang, N Durgin Inverse Problems & Imaging 15 (1), 79-107, 2021 | 15* | 2021 |
EEG Source Imaging Based on Spatial and Temporal Graph Structures J Qin, F Liu, S Wang, J Rosenberger 2017 International Conference on Image Processing Theory, Tools and …, 2017 | 15 | 2017 |
An efficient compressive sensing MR image reconstruction scheme J Qin, W Guo 2013 IEEE 10th International Symposium on Biomedical Imaging, 306-309, 2013 | 15 | 2013 |
L 1-2 Regularized Logistic Regression J Qin, Y Lou 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 779--783, 2019 | 14 | 2019 |
Shearlet-TGV Based Fluorescence Microscopy Image Deconvolution J Qin, X Yi, S Weiss, S Osher UCLA CAM Report, 2014 | 14 | 2014 |
Automatic prior shape selection for image edge detection with modified Mumford–Shah model Y Shi, Z Huo, J Qin, Y Li Computers & Mathematics with Applications 79 (6), 1644-1660, 2020 | 13 | 2020 |
Graph Fractional-Order Total Variation EEG Source Reconstruction Y Li, J Qin, S Osher, W Liu 38th Annual International Conference of the IEEE Engineering in Medicine and …, 2016 | 12 | 2016 |
Fast blind hyperspectral unmixing based on graph laplacian J Qin, H Lee, JT Chi, Y Lou, J Chanussot, AL Bertozzi 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 11 | 2019 |
A novel fluorescence microscopy image deconvolution approach J Qin, X Yi, S Weiss Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 11 | 2018 |