Solving complementarity and variational inequalities problems using neural networks. - Maryam Yashtini; Alaeddin Malek (Appl. Math. Comput., 2007)

A discrete-time neural network for solving nonlinear convex problems with hybrid constraints. - Maryam Yashtini; Alaeddin Malek (Appl. Math. Comput., 2008)

A Neural Network Model for Solving Nonlinear Optimization Problems with Real-Time Applications. - Alaeddin Malek; Maryam Yashtini (ISNN (3), 2009)

Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network. - Alaeddin Malek; Maryam Yashtini (Neurocomputing, 2010)

Partially parallel MR image reconstruction using sensitivity encoding. - Maryam Yashtini; William W. Hager; Yunmei Chen; Xiaojing Ye (ICIP, 2012)

Bregman operator splitting with variable stepsize for total variation image reconstruction. - Yunmei Chen; William W. Hager; Maryam Yashtini; Xiaojing Ye; Hongchao Zhang (Comput. Optim. Appl., 2013)

Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising. - Maryam Yashtini; Sung Ha Kang (SSVM, 2015)

On the global convergence rate of the gradient descent method for functions with Hölder continuous gradients. - Maryam Yashtini (Optim. Lett., 2016)

A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting. - Maryam Yashtini; Sung Ha Kang (SIAM J. Imaging Sci., 2016)

An O(1/k) Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm. - William W. Hager; Maryam Yashtini; Hongchao Zhang (SIAM J. Numer. Anal., 2016)

Efficient alternating minimization methods for variational edge-weighted colorization models. - Maryam Yashtini; Sung Ha Kang; Wei Zhu 003 (Adv. Comput. Math., 2019)

Euler's elastica-based algorithm for Parallel MRI reconstruction using SENSitivity Encoding. - Maryam Yashtini (Optim. Lett., 2020)

Multi-block Nonconvex Nonsmooth Proximal ADMM: Convergence and Rates Under Kurdyka-Łojasiewicz Property. - Maryam Yashtini (J. Optim. Theory Appl., 2021)

Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization. - Maryam Yashtini (J. Glob. Optim., 2022)

Counting Objects by Diffused Index: Geometry-free and training-free approach. - Mengyi Tang; Maryam Yashtini; Sung Ha Kang (J. Vis. Commun. Image Represent., 2022)