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.
208 related articles for article (PubMed ID: 30693351)
1. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear. Wang J; Zhao Y; Noble JH; Dawant BM Med Image Comput Comput Assist Interv; 2018 Sep; 11070():3-11. PubMed ID: 30693351 [TBL] [Abstract][Full Text] [Related]
2. Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs. Wang J; Noble JH; Dawant BM Med Image Anal; 2019 Dec; 58():101553. PubMed ID: 31525672 [TBL] [Abstract][Full Text] [Related]
3. Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks. Wang Z; Vandersteen C; Demarcy T; Gnansia D; Raffaelli C; Guevara N; Delingette H Comput Med Imaging Graph; 2021 Oct; 93():101990. PubMed ID: 34607275 [TBL] [Abstract][Full Text] [Related]
4. Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. Joemai RM; de Bruin PW; Veldkamp WJ; Geleijns J Med Phys; 2012 Feb; 39(2):1125-32. PubMed ID: 22320823 [TBL] [Abstract][Full Text] [Related]
5. Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT. Veldkamp WJ; Joemai RM; van der Molen AJ; Geleijns J Med Phys; 2010 Feb; 37(2):620-8. PubMed ID: 20229871 [TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of intra-cochlear anatomy in post-implantation CT of unilateral cochlear implant recipients. Reda FA; McRackan TR; Labadie RF; Dawant BM; Noble JH Med Image Anal; 2014 Apr; 18(3):605-15. PubMed ID: 24650801 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. A hybrid metal artifact reduction algorithm for x-ray CT. Zhang Y; Yan H; Jia X; Yang J; Jiang SB; Mou X Med Phys; 2013 Apr; 40(4):041910. PubMed ID: 23556904 [TBL] [Abstract][Full Text] [Related]
9. Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks. Hu Z; Jiang C; Sun F; Zhang Q; Ge Y; Yang Y; Liu X; Zheng H; Liang D Med Phys; 2019 Apr; 46(4):1686-1696. PubMed ID: 30697765 [TBL] [Abstract][Full Text] [Related]
10. Multi-modal feature-fusion for CT metal artifact reduction using edge-enhanced generative adversarial networks. Huang Z; Zhang G; Lin J; Pang Y; Wang H; Bai T; Zhong L Comput Methods Programs Biomed; 2022 Apr; 217():106700. PubMed ID: 35228146 [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. Ring artifact removal for differential phase-contrast X-ray computed tomography using a conditional generative adversarial network. Huang Z; Sunaguchi N; Shimao D; Enomoto A; Ichihara S; Yuasa T; Ando M Int J Comput Assist Radiol Surg; 2021 Nov; 16(11):1889-1900. PubMed ID: 34652605 [TBL] [Abstract][Full Text] [Related]
13. 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]
15. Generative models improve radiomics reproducibility in low dose CTs: a simulation study. Chen J; Zhang C; Traverso A; Zhovannik I; Dekker A; Wee L; Bermejo I Phys Med Biol; 2021 Aug; 66(16):. PubMed ID: 34289463 [TBL] [Abstract][Full Text] [Related]
16. Metal artifact reduction in CT, a phantom study: subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants. Bolstad K; Flatabø S; Aadnevik D; Dalehaug I; Vetti N Acta Radiol; 2018 Sep; 59(9):1110-1118. PubMed ID: 29310445 [TBL] [Abstract][Full Text] [Related]
17. Reference-free ground truth metric for metal artifact evaluation in CT images. Kratz B; Ens S; Müller J; Buzug TM Med Phys; 2011 Jul; 38(7):4321-8. PubMed ID: 21859033 [TBL] [Abstract][Full Text] [Related]
18. Metal artifact reduction and image quality evaluation of lumbar spine CT images using metal sinogram segmentation. Kaewlek T; Koolpiruck D; Thongvigitmanee S; Mongkolsuk M; Thammakittiphan S; Tritrakarn SO; Chiewvit P J Xray Sci Technol; 2015; 23(6):649-66. PubMed ID: 26756404 [TBL] [Abstract][Full Text] [Related]
19. An Innovative Metal Artifact Reduction Algorithm based on Res-U-Net GANs. Zhang Z; Yang M; Xu L; Yang J; Guo H; Wang J Curr Med Imaging; 2023; 19(13):1549-1560. PubMed ID: 36799418 [TBL] [Abstract][Full Text] [Related]
20. Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility. Han SC; Chung YE; Lee YH; Park KK; Kim MJ; Kim KW AJR Am J Roentgenol; 2014 Oct; 203(4):788-95. PubMed ID: 25247944 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]