186 related articles for article (PubMed ID: 36523807)
1. Image synthesis of effective atomic number images using a deep convolutional neural network-based generative adversarial network.
Kawahara D; Ozawa S; Saito A; Nagata Y
Rep Pract Oncol Radiother; 2022; 27(5):848-855. PubMed ID: 36523807
[TBL] [Abstract][Full Text] [Related]
2. Image synthesis with deep convolutional generative adversarial networks for material decomposition in dual-energy CT from a kilovoltage CT.
Kawahara D; Saito A; Ozawa S; Nagata Y
Comput Biol Med; 2021 Jan; 128():104111. PubMed ID: 33279790
[TBL] [Abstract][Full Text] [Related]
3. Image synthesis of monoenergetic CT image in dual-energy CT using kilovoltage CT with deep convolutional generative adversarial networks.
Kawahara D; Ozawa S; Kimura T; Nagata Y
J Appl Clin Med Phys; 2021 Apr; 22(4):184-192. PubMed ID: 33599386
[TBL] [Abstract][Full Text] [Related]
4. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
Shi Z; Li H; Cao Q; Wang Z; Cheng M
Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
[TBL] [Abstract][Full Text] [Related]
5. Generating synthetic CTs from magnetic resonance images using generative adversarial networks.
Emami H; Dong M; Nejad-Davarani SP; Glide-Hurst CK
Med Phys; 2018 Jun; ():. PubMed ID: 29901223
[TBL] [Abstract][Full Text] [Related]
6. Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients.
Zhang Y; Ding SG; Gong XC; Yuan XX; Lin JF; Chen Q; Li JG
Technol Cancer Res Treat; 2022; 21():15330338221085358. PubMed ID: 35262422
[No Abstract] [Full Text] [Related]
7. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
8. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
[TBL] [Abstract][Full Text] [Related]
9. An effective sinogram inpainting for complementary limited-angle dual-energy computed tomography imaging using generative adversarial networks.
Wang Y; Zhang W; Cai A; Wang L; Tang C; Feng Z; Li L; Liang N; Yan B
J Xray Sci Technol; 2021; 29(1):37-61. PubMed ID: 33104055
[TBL] [Abstract][Full Text] [Related]
10. The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network.
Zhou H; Liu X; Wang H; Chen Q; Wang R; Pang ZF; Zhang Y; Hu Z
Quant Imaging Med Surg; 2022 Jan; 12(1):28-42. PubMed ID: 34993058
[TBL] [Abstract][Full Text] [Related]
11. Improved GAN: Using a transformer module generator approach for material decomposition.
Wang G; Liu Z; Huang Z; Zhang N; Luo H; Liu L; Shen H; Che C; Niu T; Liang D; Luo D; Hu Z
Comput Biol Med; 2022 Oct; 149():105952. PubMed ID: 36029750
[TBL] [Abstract][Full Text] [Related]
12. Research on obtaining pseudo CT images based on stacked generative adversarial network.
Sun H; Lu Z; Fan R; Xiong W; Xie K; Ni X; Yang J
Quant Imaging Med Surg; 2021 May; 11(5):1983-2000. PubMed ID: 33936980
[TBL] [Abstract][Full Text] [Related]
13. CBCT-to-CT Translation Using Registration-Based Generative Adversarial Networks in Patients with Head and Neck Cancer.
Suwanraksa C; Bridhikitti J; Liamsuwan T; Chaichulee S
Cancers (Basel); 2023 Mar; 15(7):. PubMed ID: 37046678
[TBL] [Abstract][Full Text] [Related]
14. One half-scan dual-energy CT imaging using the Dual-domain Dual-way Estimated Network (DoDa-Net) model.
Wang Y; Cai A; Liang N; Yu X; Zhong X; Li L; Yan B
Quant Imaging Med Surg; 2022 Jan; 12(1):653-674. PubMed ID: 34993109
[TBL] [Abstract][Full Text] [Related]
15. Improving cone-beam CT quality using a cycle-residual connection with a dilated convolution-consistent generative adversarial network.
Deng L; Zhang M; Wang J; Huang S; Yang X
Phys Med Biol; 2022 Jul; 67(14):. PubMed ID: 35728794
[No Abstract] [Full Text] [Related]
16. CBCT-based synthetic CT generation using generative adversarial networks with disentangled representation.
Liu J; Yan H; Cheng H; Liu J; Sun P; Wang B; Mao R; Du C; Luo S
Quant Imaging Med Surg; 2021 Dec; 11(12):4820-4834. PubMed ID: 34888192
[TBL] [Abstract][Full Text] [Related]
17. Synthetic 3D Spinal Vertebrae Reconstruction from Biplanar X-rays Utilizing Generative Adversarial Networks.
Saravi B; Guzel HE; Zink A; Ülkümen S; Couillard-Despres S; Wollborn J; Lang G; Hassel F
J Pers Med; 2023 Nov; 13(12):. PubMed ID: 38138869
[TBL] [Abstract][Full Text] [Related]
18. Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test.
Hong KT; Cho Y; Kang CH; Ahn KS; Lee H; Kim J; Hong SJ; Kim BH; Shim E
Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204619
[TBL] [Abstract][Full Text] [Related]
19. Generative adversarial networks improve interior computed tomography angiography reconstruction.
Ketola JHJ; Heino H; Juntunen MAK; Nieminen MT; Siltanen S; Inkinen SI
Biomed Phys Eng Express; 2021 Oct; 7(6):. PubMed ID: 34673559
[TBL] [Abstract][Full Text] [Related]
20. T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks.
Kawahara D; Nagata Y
Rep Pract Oncol Radiother; 2021; 26(1):35-42. PubMed ID: 33948300
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]