Radial basis function-generated finite difference scheme for simulating the brain cancer growth model under radiotherapy in various types of computational domains. - Mehdi Dehghan 002; Niusha Narimani (Comput. Methods Programs Biomed., 2020)

The element-free Galerkin method based on moving least squares and moving Kriging approximations for solving two-dimensional tumor-induced angiogenesis model. - Mehdi Dehghan 002; Niusha Narimani (Eng. Comput., 2020)

A direct RBF-PU method for simulating the infiltration of cytotoxic T-lymphocytes into the tumor microenvironment. - Niusha Narimani; Mehdi Dehghan 002 (Commun. Nonlinear Sci. Numer. Simul., 2022)

Predicting the effect of a combination drug therapy on the prostate tumor growth via an improvement of a direct radial basis function partition of unity technique for a diffuse-interface model. - Niusha Narimani; Mehdi Dehghan 002 (Comput. Biol. Medicine, 2023)

A weighted combination of reproducing kernel particle shape functions with cardinal functions of scalable polyharmonic spline radial kernel utilized in Galerkin weak form of a mathematical model related to anti-angiogenic therapy. - Niusha Narimani; Mehdi Dehghan 002; Vahid Mohammadi (Commun. Nonlinear Sci. Numer. Simul., 2024)

A numerical investigation based on a Galerkin meshless approximation for the mathematical model of tumor-induced angiogenesis considering the role of matrix metalloproteinases-2. - Vahid Mohammadi; Mehdi Dehghan 002; Niusha Narimani (Eng. Comput., 2025)