| Thursday 11:00 AM | TH-D-207-1 : 4D-MRI Enhancement Via 2.5D Adversarial Network Y. Wang*, S. Zhi, H. Xiao, T. Li, J. Cai |
| Thursday 11:10 AM | TH-D-207-2 : Comparing Normalizing Flow and Generative Adversarial Networks to Mitigate Effects of Variations in CT Acquisition and Reconstruction L. Wei, A. Yadav*, W. Hsu |
| Thursday 11:20 AM | TH-D-207-3 : Deep Learning Prostate Segmentation in 3D Ultrasound and the Impact of Image Quality and Training Dataset Size N. Orlando*, I. Gyackov, D. Gillies, D. Cool, D. Hoover, A. Fenster |
| Thursday 11:30 AM | TH-D-207-4 : Explainable GRU-Survnet Using Longitudinal Quantitative Imaging Biomarkers From MRI and PET for Local Failure in Poor-Prognosis Head and Neck Cancer L. Wei*, M. Mierzwa, C. Lee, Y. Cao |
| Thursday 11:40 AM | TH-D-207-5 : Hybrid Adversarial Network for Ultra-Quality Pulmonary Anatomy Imaging From Cone-Beam CT Images J. Zhu, W. Chen, Y. Huang*, A. Nicol, Y. Lam, J. Cai, G. Ren |
| Thursday 11:50 AM | TH-D-207-6 : Texture Transformer Super-Resolution (TTSR) for Patient CT Images S. Zhou*, L. Yu, M. Jin |