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|MO-IePD-TRACK 3-4||3D Deep Convolutional Neural Network for Mapping MRI to Synthetic MVCT for Radiotherapy Planning|
J Scholey1*, A Rajagopal2, E Vasquez3, A Sudhyadhom4, P Larson5, (1) University of California San Francisco, San Francisco, CA, (2) University of California San Francisco, San Francisco, CA, (3) University Of California Berkeley, Berkeley, CA,(4) Harvard Medical School, Boston, MA, (5) University of California San Francisco, San Francisco, CA
|PO-GePV-M-119||Improvement of MVCT Image Quality for Adaptive Helical Tomotherapy Using CycleGAN-Based Image Synthesis with Small Datasets|
D Lee*1,3, H Cho1, Y Han2,3, (1) Yonsei University, Wonju, KR, (2) Sungkyunkwan University, Seoul, KR (3) Samsung Medical Center, Seoul, kr
|TH-C-TRACK 6-1||A Deconvolution-Based Image Fusion Technique for Heterogenous Multi-Layer Portal Imagers|
I Valencia Lozano1*, M Jacobson1, M Myronakis1, T Harris1, M Lehmann2, P Huber2, R Fueglistaller2, D Morf2, R Berbeco1, C Williams1, (1) Brigham and Women's Hospital, Dana Farber Cancer Institute & Harvard Medical School, Boston, MA, (2) Varian Medical Systems, Baden-Dattwil, Switzerland