| Monday
7:30 AM | MO-A-BRC-1 : An Automated Evaluation Tool for Quantitative Assessment of Knowledge-Based Planning Models
J. Harms*, D. Stanley, R. Popple |
| Monday
7:40 AM | MO-A-BRC-2 : Development and Maintenance of a Knowledge-Based Planning Quality Assurance Tool for a Statewide Radiation Oncology Quality Consortium
C. Matrosic*, K. Dess, K. Torolski, R. Marsh, M. Grubb, D. Dryden, D. Jarema, C. Fraser, P. Paximadis, M. Dominello, J. Hayman, S. Jolly, M. Matuszak |
| Monday
7:50 AM | MO-A-BRC-3 : Inter-Observer
variation of Target and Organ Contouring Before and After the Adoption of A
deep-Learning Auto-Contouring Model for Localized Prostate Cancer
Y. Wang*, S. Kamran, J. Efstathiou |
| Monday
8:00 AM | MO-A-BRC-4 : Prospective Clinical Experiences of Using the First Pediatric Deep-Learning Auto-Contouring
models for Cranio-Spinal Irradiation (CSI)
S. Zieminski*, S. MacDonald, T. Yock, Y. Wang |
| Monday
8:10 AM | MO-A-BRC-5 : Quantifying the Impact of Class Imbalance Handling Techniques On Medical Image Deep Learning Performance
B. Reber*, K. Brock |
| Monday
8:20 AM | MO-A-BRC-6 : Task-Based Sampling of the MIDRC Sequestered Data Commons for Algorithm Performance Evaluation
N. Baughan*, H. Whitney, K. Drukker, B. Sahiner, T. Hu, G. Kim, M. McNitt-Gray, K. Myers, M. Giger |
