| Author/Title |
Research Type |
Related Fields |
| Angelini E, Wang Y, Zhou JX, Qian H, Huang S (2022) A model for the intrinsic limit of cancer therapy: Duality of treatment-induced cell death and treatment-induced stemness. PLoS Comput Biol 18(7): e1010319. https://doi.org/10.1371/journal.pcbi.1010319 |
Publications |
Applied Mathematics, Cancer Modeling, Dynamical Systems, Mathematical Biology |
| Maass, K., Aravkin, A., & Kim, M. (2021). A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. arXiv preprint arXiv: arXiv:2105.07024. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Machine Learning, Optimization and Variational Analysis |
| Maass, K., Kim, M., & Aravkin, A. (2020). A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Inverse Problems, Optimization and Variational Analysis |
| Maass, K., & Kim, M. (2019). A Markov decision process approach to optimizing cancer therapy using multiple modalities. Mathematical Medicine and Biology: A Journal of the IMA. doi:10.1093/imammb/dqz004. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Optimization and Variational Analysis |
