| Wednesday
2:45 PM | WE-G-BRC-1 : A Data-Driven Fluence Map Optimization Approach to Mitigate the Risk of Deep Learning Tumor Segmentation Misclassification
R. Li*, N. Ebadi, J. Boutilier, P. Rad, J. Buatti, M. de Oliveira, N. Kirby, N. Papanikolaou, M. Bonnen, A. Roy |
| Wednesday
2:55 PM | WE-G-BRC-2 : Cascaded Learning-Based Cone Beam CT Head-And-Neck Multi-Organ Segmentation
Y. Lei, T. Wang, J. Zhou, J. Roper, B. Ghavidel, M. McDonald, D. Yu, J. Bradley, T. Liu, X. Yang, X. Dai, Z. Tian* |
| Wednesday
3:05 PM | WE-G-BRC-3 : Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiotherapy Plans
M. Gronberg*, S. Gay, B. Beadle, A. Garden, H. Skinner, T. Netherton, W. Cao, I. Vazquez, A. Olanrewaju, C. Chung, C. Cardenas, C. Fuller, C. Peterson, A. Jhingran, R. Howell, T. Lim, M. Yang, R. Mumme, L. Court |
| Wednesday
3:15 PM | WE-G-BRC-4 : Evaluation of Commercial AI Segmentation Software
J. Roper*, T. Wang, Y. Lei, S. Dresser, B. Ghavidel, L. Qiu, J. Zhou, O. Kayode, K. Luca, J. Bradley, T. Liu, X. Yang |
| Wednesday
3:25 PM | WE-G-BRC-5 : Performing Fully Automated Treatment Planning Using Meta-Optimization
C. Huang*, Y. Nomura, Y. Yang, L. Xing |
| Wednesday
3:35 PM | WE-G-BRC-6 : A Deep Learning U-Net Based Model to Automatically Correct Inaccurate Auto-Segmentation for MR-Guided Adaptive Radiotherapy
J. Ding*, Y. Zhang, A. Amjad, C. Sarosiek, N. Dang, X. Li |
