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Taxonomy: IM/TH- MRI in Radiation Therapy: Synthetic CT
| BReP-SNAP-M-95 | Inter-Vendor Compatibility and Transfer Learning for MR-Based Synthetic CT Deep Learning Models for Domain Adaptation P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY |
| BReP-SNAP-M-140 | Synthetic Digital Reconstructed Radiograph for MR-Only Robotic Radiosurgery with Deep Convolutional Adversarial Networks G Szalkowski1*, D Nie1, T Zhu1, M Dance1, X Xu1, A Wang1, T Royce1, R Chen2, D Shen1, J Lian1, (1) University of North Carolina at Chapel Hill, Chapel Hill, NC, (2) University Of Kansas |
| PO-GeP-M-303 | MRI-Only Brain Radiotherapy: Assessing the Dosimetric Accuracy of Synthetic CT Images Generated Using Cycle GAN S Kazemifar1*, A Barragan Montero2, T Bai1, R Timmerman1, Y Park1, M Lin1, S Jiang1, A Owrangi1, (1) UT Southwestern Medical Center, Dalllas, TX, (2) Universite Catholique de Louvain, Brussels, VBR, BE |
| PO-GeP-M-436 | Why MAE Alone Is Not Enough for SCT Model Comparisons P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY |
| SU-D-TRACK 1-4 | Dosimetric Evaluation of Synthetic-CT Generated by Multi-Sequence MR Images for Head and Neck MR-Only Radiotherapy M Qi1*, Y Li2, A Wu1, X Lu1, Y Liu1, L Zhou1, T Song1, (1) Southern Medical University, Guangzhou, Guangdong, CN, (2) Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN |