| Tuesday 4:30 PM | TU-F-TRACK 6-1 : 3D Dense U-Net for Fully Automated Multi-Organ Segmentation in Female Pelvic Magnetic Resonance Imaging F. Zabihollahy*, E. Schmidt, A. Viswanathan, J. Lee |
| Tuesday 4:37 PM | TU-F-TRACK 6-2 : Automatic Segmentation and Physician Review of Intact and Post-Operative Prostate Radiotherapy Contours M. El Basha*, D. Fuentes, J. Pollard-Larkin, F. Poenisch, Z. Yu, S. Frank, C. Tang, A. Aggarwal, L. Court, C. Cardenas |
| Tuesday 4:44 PM | TU-F-TRACK 6-3 : Autosegmentation Anomaly Detection by Clustering of Shapes D. Sawkey* |
| Tuesday 4:51 PM | TU-F-TRACK 6-4 : Auto-Segmentation of Organs-At-Risk in Head and Neck CT Images with Dual Shape Guided Network S. Wang*, T. Yanagihara, B. Chera, C. Shen, P. Yap, J. Lian |
| Tuesday 4:58 PM | TU-F-TRACK 6-5 : Improving Cone-Beam CT Based Organ Segmentation with Attention and Knowledge Transfer H. Zhou*, Y. Min, A. Kishan, S. Yoon, M. Cao, D. Ruan |
| Tuesday 5:05 PM | TU-F-TRACK 6-6 : Measuring the Clinical Impact of the Introduction of a Novel Auto-Contouring Workflow for 0.35T MRI-Guided Pelvic Radiotherapy Y. Abdulkadir*, D. Luximon, E. Morris, P. Chow, J. Lamb |
| Tuesday 5:12 PM | TU-F-TRACK 6-7 : Weaving Attention U-Net for Head and Neck Multi-Organ CT Segmentation Z. Zhang*, T. Zhao, H. Gay, W. Zhang, B. Sun |