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Journal Abstract Search
151 related items for PubMed ID: 36762594
1. Segmentation of multiple Organs-at-Risk associated with brain tumors based on coarse-to-fine stratified networks. Zhao Q, Wang G, Lei W, Fu H, Qu Y, Lu J, Zhang S, Zhang S. Med Phys; 2023 Jul; 50(7):4430-4442. PubMed ID: 36762594 [Abstract] [Full Text] [Related]
2. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks. Tong N, Gou S, Yang S, Ruan D, Sheng K. Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285 [Abstract] [Full Text] [Related]
5. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks. Ibragimov B, Xing L. Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307 [Abstract] [Full Text] [Related]
6. Automatic multiorgan segmentation in thorax CT images using U-net-GAN. Dong X, Lei Y, Wang T, Thomas M, Tang L, Curran WJ, Liu T, Yang X. Med Phys; 2019 May; 46(5):2157-2168. PubMed ID: 30810231 [Abstract] [Full Text] [Related]
7. Automatic segmentation of organs-at-risks of nasopharynx cancer and lung cancer by cross-layer attention fusion network with TELD-Loss. Liu Z, Sun C, Wang H, Li Z, Gao Y, Lei W, Zhang S, Wang G, Zhang S. Med Phys; 2021 Nov; 48(11):6987-7002. PubMed ID: 34608652 [Abstract] [Full Text] [Related]
9. [Not Available]. Zhang L, Liu Z, Zhang L, Wu Z, Yu X, Holmes J, Feng H, Dai H, Li X, Li Q, Wong WW, Vora SA, Zhu D, Liu T, Liu W. Med Phys; 2024 Mar; 51(3):2187-2199. PubMed ID: 38319676 [Abstract] [Full Text] [Related]
10. Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network. Liu Z, Liu X, Xiao B, Wang S, Miao Z, Sun Y, Zhang F. Phys Med; 2020 Jan; 69():184-191. PubMed ID: 31918371 [Abstract] [Full Text] [Related]
18. Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images. Liang S, Thung KH, Nie D, Zhang Y, Shen D. IEEE Trans Med Imaging; 2020 Sep; 39(9):2794-2805. PubMed ID: 32091997 [Abstract] [Full Text] [Related]