1. Mahmood R, Babier A, McNiven A, Diamant A, Chan TC (2018) Automated treatment planning in radiation therapy using generative adversarial networks. In: Machine learning for healthcare conference, PMLR, pp 484–499
2. Momin S, Fu Y, Lei Y, Roper J, Bradley JD, Curran WJ, Liu T, Yang X (2021) Knowledge-based radiation treatment planning: a data-driven method survey. J Appl Clin Med Phys
3. Kajikawa T, Kadoya N, Ito K et al (2019) A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients. J Radiation Res 60:685–693
4. Barragan-Montero AM, Nguyen D, Lu W, Lin M, Geets X, Sterpin E, Jiang S (2019) Application of deep neural networks for automatic planning in radiation oncology treatments. In: 27th European symposium on artificial neural networks, computational intelligence and machine learning, ESANN 2019, ESANN (i6doc. com), pp 161–166
5. Kearney V, Chan JW, Haaf S, Descovich M, Solberg TD (2018) Dosenet: a volumetric dose prediction algorithm using 3D fully convolutional neural networks. Phys Med Biol 63(23):235022