DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Taxonomy: IM- PET : Machine learning, computer vision
| PO-GePV-I-82 | Predicting F-18 FMISO PET Hypoxia Measurements From F-18 FDG PET Scan Using a Generative Adversarial Network W Zhao*, M Grkovski, N Lee, H Schoder, J Humm, H Veeraraghavan, J Deasy, Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-D930-IePD-F2-5 | Deep Learning-Based Prognosis Prediction of Diffuse Large B-Cell Lymphoma in PET Images C Qian1;3*, C Jiang2, X Kai1, D Cao3, J Sun1, G Liugang1, N Xinye1, (1) The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, CN, (2) Nanjing Drum Tower Hospital, Nanjing, Jiangsu, CN, (3) Changzhou Institute of Technology, Changzhou, Jiangsu, CN |
| WE-C1000-IePD-F6-4 | PET Image Quality Enhancement for RefleXion X1 Biology-Guided Radiotherapy (BGRT) System Using Patient-Specific Mean Teacher UNet (MT-UNet) J Fu1*, Z Zhang1, L Shi1, Z Hu2, P Dong1, G Pratx1, L Vitzthum1, D Chang1, L Xing1, W Liu1, (1) Stanford Radiation Oncology, Stanford, CA, (2) Reflexion Medical, Inc., Union City, CA |