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.
195 related articles for article (PubMed ID: 35925029)
1. DL-based inpainting for metal artifact reduction for cone beam CT using metal path length information. Gottschalk TM; Maier A; Kordon F; Kreher BW Med Phys; 2023 Jan; 50(1):128-141. PubMed ID: 35925029 [TBL] [Abstract][Full Text] [Related]
2. Frequency split metal artifact reduction (FSMAR) in computed tomography. Meyer E; Raupach R; Lell M; Schmidt B; Kachelrieß M Med Phys; 2012 Apr; 39(4):1904-16. PubMed ID: 22482612 [TBL] [Abstract][Full Text] [Related]
3. An irregular metal trace inpainting network for x-ray CT metal artifact reduction. Peng C; Li B; Li M; Wang H; Zhao Z; Qiu B; Chen DZ Med Phys; 2020 Sep; 47(9):4087-4100. PubMed ID: 32463485 [TBL] [Abstract][Full Text] [Related]
4. Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction. Peng C; Qiu B; Li M; Guan Y; Zhang C; Wu Z; Zheng J Biomed Eng Online; 2017 Jan; 16(1):1. PubMed ID: 28086973 [TBL] [Abstract][Full Text] [Related]
5. Inpainting the metal artifact region in MRI images by using generative adversarial networks with gated convolution. Xie K; Gao L; Lu Z; Li C; Xi Q; Zhang F; Sun J; Lin T; Sui J; Ni X Med Phys; 2022 Oct; 49(10):6424-6438. PubMed ID: 35982470 [TBL] [Abstract][Full Text] [Related]
6. A new dental CBCT metal artifact reduction method based on a dual-domain processing framework. Tang H; Lin YB; Jiang SD; Li Y; Li T; Bao XD Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37524084 [No Abstract] [Full Text] [Related]
7. [Mitigating metal artifacts from cobalt-chromium alloy crowns in cone-beam CT images through deep learning techniques]. Jia LH; Lin HL; Zheng SW; Lin XJ; Zhang D; Yu H Zhonghua Kou Qiang Yi Xue Za Zhi; 2024 Jan; 59(1):71-79. PubMed ID: 38228542 [No Abstract] [Full Text] [Related]
8. b-MAR: bidirectional artifact representations learning framework for metal artifact reduction in dental CBCT. Song Y; Yao T; Peng S; Zhu M; Meng M; Ma J; Zeng D; Huang J; Bian Z; Wang Y Phys Med Biol; 2024 Jul; 69(14):. PubMed ID: 38588680 [No Abstract] [Full Text] [Related]
9. Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography. Zhang Y; Yu H IEEE Trans Med Imaging; 2018 Jun; 37(6):1370-1381. PubMed ID: 29870366 [TBL] [Abstract][Full Text] [Related]
10. Inpainting-filtering for metal artifact reduction (IMIF-MAR) in computed tomography. Rodríguez-Gallo Y; Orozco-Morales R; Pérez-Díaz M Phys Eng Sci Med; 2021 Jun; 44(2):409-423. PubMed ID: 33761106 [TBL] [Abstract][Full Text] [Related]
11. MARGANVAC: metal artifact reduction method based on generative adversarial network with variable constraints. Li G; Ji L; You C; Gao S; Zhou L; Bai K; Luo S; Gu N Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37696272 [No Abstract] [Full Text] [Related]
12. Sinogram domain metal artifact correction of CT via deep learning. Zhu Y; Zhao H; Wang T; Deng L; Yang Y; Jiang Y; Li N; Chan Y; Dai J; Zhang C; Li Y; Xie Y; Liang X Comput Biol Med; 2023 Mar; 155():106710. PubMed ID: 36842222 [TBL] [Abstract][Full Text] [Related]
13. A semi-supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction. Shi Z; Wang N; Kong F; Cao H; Cao Q Med Phys; 2022 Jun; 49(6):3845-3859. PubMed ID: 35322430 [TBL] [Abstract][Full Text] [Related]
14. Normalized metal artifact reduction (NMAR) in computed tomography. Meyer E; Raupach R; Lell M; Schmidt B; Kachelriess M Med Phys; 2010 Oct; 37(10):5482-93. PubMed ID: 21089784 [TBL] [Abstract][Full Text] [Related]
15. Metal artifact reduction for practical dental computed tomography by improving interpolation-based reconstruction with deep learning. Liang K; Zhang L; Yang H; Yang Y; Chen Z; Xing Y Med Phys; 2019 Dec; 46(12):e823-e834. PubMed ID: 31811792 [TBL] [Abstract][Full Text] [Related]
16. Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scan. Hyun CM; Bayaraa T; Yun HS; Jang TJ; Park HS; Seo JK Phys Med Biol; 2022 Aug; 67(17):. PubMed ID: 35944531 [No Abstract] [Full Text] [Related]
17. PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction. Xia J; Zhou Y; Deng W; Kang J; Wu W; Qi M; Zhou L; Ma J; Xu Y IEEE Trans Med Imaging; 2024 Jun; 43(6):2125-2136. PubMed ID: 38236665 [TBL] [Abstract][Full Text] [Related]
18. Physics-informed sinogram completion for metal artifact reduction in CT imaging. Zhu M; Zhu Q; Song Y; Guo Y; Zeng D; Bian Z; Wang Y; Ma J Phys Med Biol; 2023 Mar; 68(6):. PubMed ID: 36808913 [No Abstract] [Full Text] [Related]
19. Metal artifact reduction on cervical CT images by deep residual learning. Huang X; Wang J; Tang F; Zhong T; Zhang Y Biomed Eng Online; 2018 Nov; 17(1):175. PubMed ID: 30482231 [TBL] [Abstract][Full Text] [Related]
20. Evaluation of two commercial CT metal artifact reduction algorithms for use in proton radiotherapy treatment planning in the head and neck area. Andersson KM; Dahlgren CV; Reizenstein J; Cao Y; Ahnesjö A; Thunberg P Med Phys; 2018 Oct; 45(10):4329-4344. PubMed ID: 30076784 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]