Bregman operator splitting with variable stepsize for total variation image reconstruction Y Chen, WW Hager, M Yashtini, X Ye, H Zhang
Computational optimization and applications 54 (2), 317-342, 2013
80 2013 A fast relaxed normal two split method and an effective weighted TV approach for Euler's elastica image inpainting M Yashtini, SH Kang
SIAM Journal on Imaging Sciences 9 (4), 1552-1581, 2016
44 2016 Solving complementarity and variational inequalities problems using neural networks M Yashtini, A Malek
Applied Mathematics and Computation 190 (1), 216-230, 2007
41 2007 An alternating direction approximate Newton algorithm for ill-conditioned inverse problems with application to parallel MRI W Hager, C Ngo, M Yashtini, HC Zhang
Journal of the Operations Research Society of China 3, 139-162, 2015
39 2015 A discrete-time neural network for solving nonlinear convex problems with hybrid constraints M Yashtini, A Malek
Applied Mathematics and Computation 195 (2), 576-584, 2008
28 2008 An Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm WW Hager, M Yashtini, H Zhang
SIAM Journal on Numerical Analysis 54 (3), 1535-1556, 2016
27 2016 Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization M Yashtini
Journal of Global Optimization 84 (4), 913-939, 2022
26 2022 On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients M Yashtini
Optimization letters 10, 1361-1370, 2016
26 2016 Multi-block nonconvex nonsmooth proximal admm: Convergence and rates under kurdyka–łojasiewicz property M Yashtini
Journal of Optimization Theory and Applications 190 (3), 966-998, 2021
19 2021 Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network A Malek, M Yashtini
Neurocomputing 73 (4-6), 937-943, 2010
19 2010 Alternating direction method of multiplier for Euler’s elastica-based denoising M Yashtini, SH Kang
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
18 2015 Partially parallel MR image reconstruction using sensitivity encoding M Yashtini, WW Hager, Y Chen, X Ye
2012 19th IEEE International Conference on Image Processing, 2077-2080, 2012
13 2012 Euler’s elastica-based algorithm for parallel MRI reconstruction using sensitivity encoding M Yashtini
Optimization Letters 14 (6), 1435-1458, 2020
8 2020 Efficient alternating minimization methods for variational edge-weighted colorization models M Yashtini, SH Kang, W Zhu
Advances in Computational Mathematics 45, 1735-1767, 2019
8 2019 Convergence analysis of a proximal linearized ADMM algorithm for nonconvex nonsmooth optimization M Yashtini
arXiv preprint arXiv:2009.05361, 2020
3 2020 An O (1/K) convergence rate for the BOSVS algorithm in total variation regularized least squares problems W Hager, M Yashtini, H Zhang
SIAM J. Numer. Anal, 2014
3 2014 A neural network model for solving nonlinear optimization problems with real-time applications A Malek, M Yashtini
Advances in Neural Networks–ISNN 2009: 6th International Symposium on Neural …, 2009
3 2009 Alternating direction approximate Newton method for partially parallel imaging WW Hager, C Ngo, M Yashtini, H Zhang
J. Oper. Res. Soc. China 3 (2), 139-162, 2015
1 2015 Convergence rate of Bregman operator splitting with variable stepsize W Hager, M Yashtini, H Zhang
SIAM J. Numer. Anal, 2013
1 2013 Detecting AI Generated Images Through Texture and Frequency Analysis of Patches Y Chen, M Yashtini
2024 4th International Conference on Artificial Intelligence, Virtual …, 2024
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