___

• [1] V. Noviantri, T. Tomy, A. Chowanda, Linear and nonlinear model of brain tumor growth simulation using finite difference method, Procedia Comput. Sci., 179 (2021), 297-304.
• [2] F. Mohd, H. Sulaiman, N. A. Alias, Modified Swanson’s equation to detect the growth of glioblastomas multiforme (GBM) tumour, Int. J. Adv. Res. Eng. Innıv., 3(1) (2021), 1-18.
• [3] Y. Zhang, P. X. Liu, W. Hou, Modeling of glioma growth using modified reaction-diffusion equation on brain MR images, Comput. Methods Programs Biomed., 227 (2022), 107233.
• [4] N. Henscheid, Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data, Math. Biosci. Eng., 17(6) (2020), 6531-6556.
• [5] A. K. Y. Tam, M. J. Simpson, Pattern formation and front stability for a moving-boundary model of biological invasion and recession, Phys. D: Nonlinear Phenom., 444 (2023), 133593.
• [6] V. A. Khoa, Convergence of a spectral regularization of a time-reversed reaction-diffusion problem with high-order Sobolev-Gevrey smoothness, J. Math. Anal. Appl., 518(1) (2023), 126666.
• [7] B. Liang, L. Lozenski, U. Villa, D. Faghihi, PDE-constrained optimization formulation for tumor growth model calibration, ArXiv Preprint ArXiv:2302.06445, (2023).
• [8] K. N. Soltanov, Behavior of solutions nonlinear reaction-diffusion PDE’s relation to dynamics of propagation of cancer, ArXiv Preprint ArXiv:2108.03023, (2021).
• [9] N. A. Nayied, F. A. Shah, K. S. Nisar, M. A. Khanday, S. Habeeb, Numerical assessment of the brain tumor growth model via fibonacci and haar wavelets, Fractals, 31(2) (2023), 2340017.
• [10] R. Everett, K. B. Flores, N. Henscheid, J. Lagergren, K. Larripa, D. Li, T. J. Nardini, P.T.T. Nguyen, E. B. Pitman, E. M. Rutter, A tutorial review of mathematical techniques for quantifying tumor heterogeneity, Math. Biosci. Eng., 17(4) (2020), 3660-3709.
• [11] I. Mazari, The bang-bang property in some parabolic bilinear optimal control problems via two-scale asymptotic expansions, J. Funct. Anal., 284(10) (2023), 109855.
• [12] N. Moshtaghi-Kashanian, H. Niroomand-Oscuii, N. Meghdadi, Simulating glioblastoma growth consisting both visible and invisible parts of the tumor using a diffusion–reaction model followed by resection and radiotherapy, Acta Neurol. Belg., 120 (2020), 629-637.
• [13] M. S. Iqbal, N. Ahmed, R. Naeem, A. Akg¨ul, A. Razzaque, M. Inc, H. Khurshid, Dynamical behavior of cancer cell densities in two dimensional domain by the representation theory of solitons, Phys. Lett. A, 463 (2023), 128670.
• [14] G. Baravdish, B. T. Johansson, O. Svensson, W. Ssebunjo, Identifying a response parameter in a model of brain tumor evolution under therapy, IMA J. Appl. Math., (2023), 1-27.
• [15] A. Moustafid, General chemotherapy protocols, J. Appl. Dyn. Syst. Control, 4(2) (2021), 18-25.
• [16] A. Moustafid, Set-valued control of cancer by combination chemotherapy, J. Math. Sci. Model.,6(1) (2023), 7-16.
• [17] A. Moustafid, Viability control of chemo-immunotherapy and radiotherapy by set-valued analysis, Int. J. Inform. Appl. Math., 6(1) (2023), 40-60.
• [18] A. Moustafid, Set-valued analysis of anti-angiogenic therapy and radiotherapy, Math. Model. Numer. Simul. Appl., 2(3) (2022), 187-196.
• [19] K. Kassara, A. Moustafid, Angiogenesis inhibition and tumor-immune interactions with chemotherapy by a control set-valued method, Math. Biosci., 231(2) (2011), 135-143.
• [20] A. Moustafid, General anti-angiogenic therapy protocols with chemotherapy, Int. J. Math. Model. Comput., 11(3) (2021), 1-14.
• [21] A. Moustafid, Feedback protocols for anti-angiogenic therapy in the treatment of cancer tumors by chemotherapy, Int. J. Optim. Appl., 2 (2022), 17-24.
• [22] L. Boujallal, M. Elhia, O. Balatif, A novel control set-valued approach with application to epidemic models, J. Appl. Math. Comput., 65 (2021), 295-319.
• [23] K. Kassara, A unified set-valued approach to control immunotherapy, SIAM J. Control Optim., 48(2) (2009), 909-924.
• [24] M. Yousefnezhad, C. Y. Kao, S. A. Mohammadi, Optimal chemotherapy for brain tumor growth in a reaction-diffusion model, SIAM J. Appl. Math., 81(3) (2021), 1077-1097.
• [25] R. Rockne, E. C. Alvord, J. K. Rockhill, K. R. Swanson, A mathematical model for brain tumor response to radiation therapy, J. Math. Biol., 58 (2009), 561-578.
• [26] G. B. Powathil, Modeling of Brain Tumors: Effects of Microenvironment and Associated Therapeutic Strategies, (2009), http://hdl.handle.net/10012/4738.
• [27] J. Aubin, Viability Theory, Springer Science & Business Media, (2009).