These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
297 related articles for article (PubMed ID: 36465830)
1. High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning. Sun H; Jiang Y; Yuan J; Wang H; Liang D; Fan W; Hu Z; Zhang N Quant Imaging Med Surg; 2022 Dec; 12(12):5326-5342. PubMed ID: 36465830 [TBL] [Abstract][Full Text] [Related]
2. Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss. Ouyang J; Chen KT; Gong E; Pauly J; Zaharchuk G Med Phys; 2019 Aug; 46(8):3555-3564. PubMed ID: 31131901 [TBL] [Abstract][Full Text] [Related]
3. Utilizing deep learning techniques to improve image quality and noise reduction in preclinical low-dose PET images in the sinogram domain. Manoj Doss KK; Chen JC Med Phys; 2024 Jan; 51(1):209-223. PubMed ID: 37966121 [TBL] [Abstract][Full Text] [Related]
4. Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI. Zhang L; Xiao Z; Zhou C; Yuan J; He Q; Yang Y; Liu X; Liang D; Zheng H; Fan W; Zhang X; Hu Z Med Phys; 2022 Jan; 49(1):343-356. PubMed ID: 34796526 [TBL] [Abstract][Full Text] [Related]
5. Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks. Vashistha R; Vegh V; Moradi H; Hammond A; O'Brien K; Reutens D Front Radiol; 2024; 4():1466498. PubMed ID: 39328298 [TBL] [Abstract][Full Text] [Related]
6. Virtual high-count PET image generation using a deep learning method. Liu J; Ren S; Wang R; Mirian N; Tsai YJ; Kulon M; Pucar D; Chen MK; Liu C Med Phys; 2022 Sep; 49(9):5830-5840. PubMed ID: 35880541 [TBL] [Abstract][Full Text] [Related]
8. Generation of Ghafari A; Sheikhzadeh P; Seyyedi N; Abbasi M; Farzenefar S; Yousefirizi F; Ay MR; Rahmim A Phys Med Biol; 2022 Oct; 67(21):. PubMed ID: 36162408 [No Abstract] [Full Text] [Related]
9. An investigation of quantitative accuracy for deep learning based denoising in oncological PET. Lu W; Onofrey JA; Lu Y; Shi L; Ma T; Liu Y; Liu C Phys Med Biol; 2019 Aug; 64(16):165019. PubMed ID: 31307019 [TBL] [Abstract][Full Text] [Related]
10. Contrast-Enhanced Liver Magnetic Resonance Image Synthesis Using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GAN. Jiao C; Ling D; Bian S; Vassantachart A; Cheng K; Mehta S; Lock D; Zhu Z; Feng M; Thomas H; Scholey JE; Sheng K; Fan Z; Yang W Cancers (Basel); 2023 Jul; 15(14):. PubMed ID: 37509207 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Generation of Conventional Choi HJ; Seo M; Kim A; Park SH Medicina (Kaunas); 2023 Jul; 59(7):. PubMed ID: 37512092 [No Abstract] [Full Text] [Related]
13. Full-count PET recovery from low-count image using a dilated convolutional neural network. Spuhler K; Serrano-Sosa M; Cattell R; DeLorenzo C; Huang C Med Phys; 2020 Oct; 47(10):4928-4938. PubMed ID: 32687608 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN). Li Z; Tian Q; Ngamsombat C; Cartmell S; Conklin J; Filho ALMG; Lo WC; Wang G; Ying K; Setsompop K; Fan Q; Bilgic B; Cauley S; Huang SY Med Phys; 2022 Feb; 49(2):1000-1014. PubMed ID: 34961944 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Parallel imaging with a combination of sensitivity encoding and generative adversarial networks. Lv J; Wang P; Tong X; Wang C Quant Imaging Med Surg; 2020 Dec; 10(12):2260-2273. PubMed ID: 33269225 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation. Chen KT; Toueg TN; Koran MEI; Davidzon G; Zeineh M; Holley D; Gandhi H; Halbert K; Boumis A; Kennedy G; Mormino E; Khalighi M; Zaharchuk G Eur J Nucl Med Mol Imaging; 2021 Jul; 48(8):2416-2425. PubMed ID: 33416955 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]