| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-1 : Deep Learning Based Multiple-Arc VMAT MLC Sequence Prediction in Prostate Cancer Y. Lao*, N. Tong, W. Yang, K. Sheng |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-2 : Capturing Head-And-Neck Planning Trends with a Knowledge-Based Tradeoff Model J. Zhang*, Y. Sheng, Y. Ge, Z. Tian, X. Yang, T. Liu, Q. Wu |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-3 : A Deep-Learning-Based Dual-Arc VMAT Plan Generation From Patient Anatomy for Prostate Simultaneous Integrated Boost (SIB) Cases Q. Zhu*, X. Li, Y. Ni, C. Wang, Q. Wu, Y. Ge, F. Yin, Q. Wu |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-4 : A Feasibility Study of Automated Inverse Planning Using Hyperparameter Tuning M. Kim*, K. Maass, A. Aravkin |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-5 : Plan N Check: An Open-Source Tool for Automatic Head-And-Neck VMAT Planning in Varian Eclipseâ„¢ C. Sample*, H. Clark |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-6 : A Fully-Automated Field-In-Field Algorithm Translatable to Multiple Disease Sites K. Huang*, D. Rhee, A. Olanrewaju, D. Hancock, L. Zhang, C. Cardenas, P. Das, S. Beddar, D. Fuentes, T. Briere, L. Court |
| Monday 12:30 PM - 1:00 PM | MO-IePD-TRACK 5-7 : Robust Lung SBRT Knowledge-Based Planning with Missing Data Management A. Kroshko*, L. Archambault, O. Morin |