| Tuesday 1:00 PM | TU-C-TRACK 3-1 : A Deep Learning Technique for Projection Interpolation in CBCT Reconstruction K. Lu*, Z. Zhang, L. Ren, F. Yin |
| Tuesday 1:07 PM | TU-C-TRACK 3-2 : BEST IN PHYSICS (IMAGING): A GAN-Based Technique for Synthesizing Realistic Respiratory Motion in the 4D-XCAT Phantoms Y. Chang*, Z. Jiang, P. Segars, Z. Zhang, F. Yin, L. Ren |
| Tuesday 1:14 PM | TU-C-TRACK 3-3 : A Method for 4D Cone-Beam CT in Under 20 Seconds with New Generation Linacs S. Blake*, O. Dillon, R. O'Brien |
| Tuesday 1:21 PM | TU-C-TRACK 3-4 : Dual-Encoder Convolutional Neural Network (DeCNN) for Average Image-Constrained 4D-CBCT Reconstruction Z. Jiang*, Z. Zhang, Y. Chang, F. Yin, L. Ren |
| Tuesday 1:28 PM | TU-C-TRACK 3-5 : Faster Safer Clearer 4DCBCT: Results of the ADAPT Clinical Trial O. Dillon*, B. Lau, T. Reynolds, P. Keall, S. Vinod, A. Wallis, S. Smith, J. Sonke, R. O'Brien |
| Tuesday 1:35 PM | TU-C-TRACK 3-6 : Rapid Low Dose 4DCBCT B. Lau*, O. Dillon, T. Reynolds, P. Keall, J. Sonke, S. Vinod, R. O'Brien |
| Tuesday 1:42 PM | TU-C-TRACK 3-7 : Reference-Free, Learning-Based Rigid Motion Compensation in Cone-Beam CT for Interventional Neuroradiology H. Huang*, J. Siewerdsen, W. Zbijewski, C. Weiss, T. Ehtiati, A. Sisniega |