535 related articles for article (PubMed ID: 35880806)
21. Sparsity-induced dynamic guided filtering approach for sparse-view data toward low-dose x-ray computed tomography.
Yu W; Wang C; Nie X; Zeng D
Phys Med Biol; 2018 Nov; 63(23):235016. PubMed ID: 30484434
[TBL] [Abstract][Full Text] [Related]
22. Efficient low-dose CT artifact mitigation using an artifact-matched prior scan.
Xu W; Mueller K
Med Phys; 2012 Aug; 39(8):4748-60. PubMed ID: 22894400
[TBL] [Abstract][Full Text] [Related]
23. A platform-independent method to reduce CT truncation artifacts using discriminative dictionary representations.
Chen Y; Budde A; Li K; Li Y; Hsieh J; Chen GH
Med Phys; 2017 Jan; 44(1):121-131. PubMed ID: 28102942
[TBL] [Abstract][Full Text] [Related]
24. Low-dose CT reconstruction method based on prior information of normal-dose image.
Chen Z; Zhang Q; Zhou C; Zhang M; Yang Y; Liu X; Zheng H; Liang D; Hu Z
J Xray Sci Technol; 2020; 28(6):1091-1111. PubMed ID: 33044223
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. [Sparse-view CT image restoration
Wei Z; Wang Y; Tao X; Jia X; Bian Z; Chen G; Li M; Ma K; Li B; Ma J
Nan Fang Yi Ke Da Xue Xue Bao; 2019 Nov; 39(11):1320-1328. PubMed ID: 31852651
[TBL] [Abstract][Full Text] [Related]
27. CT artifact correction for sparse and truncated projection data using generative adversarial networks.
Podgorsak AR; Shiraz Bhurwani MM; Ionita CN
Med Phys; 2021 Feb; 48(2):615-626. PubMed ID: 32996149
[TBL] [Abstract][Full Text] [Related]
28. Artifact suppression for breast specimen imaging in micro CBCT using deep learning.
Aootaphao S; Puttawibul P; Thajchayapong P; Thongvigitmanee SS
BMC Med Imaging; 2024 Feb; 24(1):34. PubMed ID: 38321390
[TBL] [Abstract][Full Text] [Related]
29. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer.
Zhou B; Zhou SK; Duncan JS; Liu C
IEEE Trans Med Imaging; 2021 Jul; 40(7):1792-1804. PubMed ID: 33729929
[TBL] [Abstract][Full Text] [Related]
30. End-to-end deep learning for interior tomography with low-dose x-ray CT.
Han Y; Wu D; Kim K; Li Q
Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35390782
[No Abstract] [Full Text] [Related]
31. Sparse-view CT reconstruction based on multi-level wavelet convolution neural network.
Lee M; Kim H; Kim HJ
Phys Med; 2020 Dec; 80():352-362. PubMed ID: 33279829
[TBL] [Abstract][Full Text] [Related]
32. DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.
Zhou B; Chen X; Zhou SK; Duncan JS; Liu C
Med Image Anal; 2022 Jan; 75():102289. PubMed ID: 34758443
[TBL] [Abstract][Full Text] [Related]
33. Generalized deep iterative reconstruction for sparse-view CT imaging.
Su T; Cui Z; Yang J; Zhang Y; Liu J; Zhu J; Gao X; Fang S; Zheng H; Ge Y; Liang D
Phys Med Biol; 2022 Jan; 67(2):. PubMed ID: 34847538
[TBL] [Abstract][Full Text] [Related]
34. Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning.
Wu D; Kim K; Li Q
Med Phys; 2021 Dec; 48(12):7657-7672. PubMed ID: 34791655
[TBL] [Abstract][Full Text] [Related]
35. A dense and U-shaped transformer with dual-domain multi-loss function for sparse-view CT reconstruction.
Liu P; Fang C; Qiao Z
J Xray Sci Technol; 2024; 32(2):207-228. PubMed ID: 38306086
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Reduction of streak artifacts caused by low photon counts utilizing an image-based forward projection in computed tomography.
Niwa S; Ichikawa K; Kawashima H; Takata T; Minami S; Mitsui W
Comput Biol Med; 2021 Aug; 135():104583. PubMed ID: 34216891
[TBL] [Abstract][Full Text] [Related]
38. Successive iterative restoration applied to streak artifact reduction in X-ray CT image of dento-alveolar region.
Dong J; Kondo A; Abe K; Hayakawa Y
Int J Comput Assist Radiol Surg; 2011 Sep; 6(5):635-40. PubMed ID: 21207177
[TBL] [Abstract][Full Text] [Related]
39. Multi-scale dilated dense reconstruction network for limited-angle computed tomography.
Zhou H; Zhu Y; Zhang H; Zhao X; Zhang P
Phys Med Biol; 2023 Mar; 68(7):. PubMed ID: 36821860
[No Abstract] [Full Text] [Related]
40. Deep convolutional-neural-network-based metal artifact reduction for CT-guided interventional oncology procedures (MARIO).
Cao W; Parvinian A; Adamo D; Welch B; Callstrom M; Ren L; Missert A; Favazza CP
Med Phys; 2024 Jun; 51(6):4231-4242. PubMed ID: 38353644
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]