| CBCT: Processing and Analysis | Tuesday - 7/16/2019 | ||
| Imaging General ePoster Discussion | 9:30 AM - 10:00 AM | Room: Exhibit Hall | Forum 9 | |
| Tuesday | TU-C930-GePD-F9-1 : Automatic Segmentation On CBCT Images Using a Combination of CBCT Enhancement and Deep Learning CT Segmentation S.Andersson*, R.Nilsson | |
| Tuesday | TU-C930-GePD-F9-2 : Calibrator Recognition of Cone-Beam Image for Geometric Correction Q.Ling*, X.Duan, J.Ma, J.Huang, S.Huang, J.Cai, L.Zhou, Y.Xu | |
| Tuesday | TU-C930-GePD-F9-3 : Fast CBCT Scatter Estimation Based On Monte Carlo and U-Net A.Zhong*, y.zhang, B.Li, Z.Tian, X.Jia, L.Zhou, Y.Xu, X.Zhen | |
| Tuesday | TU-C930-GePD-F9-4 : Hounsfield Unit Correction of Prostate CBCT Using Cycle-Consistent Generative Adversarial Networks (CycleGAN) O.Dona*, Y.Wang, A.Xu, C.Wuu | |
| Tuesday | TU-C930-GePD-F9-5 : Transfer Learning of a Convolutional Neural Network for CBCT Projection-Domain Scatter Correction with Different Scan Conditions Y.Nomura*, Q.Xu, H.Shirato, S.Shimizu, L.Xing | |
| Tuesday | TU-C930-GePD-F9-6 : Repeatability of CBCT-Based Radiomics Texture Features for Prostate Cancer R.Delgadillo*, J.Ford, M.Abramowitz, F.Yang, N.Dogan | |
