558 related articles for article (PubMed ID: 35738249)
1. LRR-CED: low-resolution reconstruction-aware convolutional encoder-decoder network for direct sparse-view CT image reconstruction.
Kandarpa VSS; Perelli A; Bousse A; Visvikis D
Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35738249
[No Abstract] [Full Text] [Related]
2. A dual-domain neural network based on sinogram synthesis for sparse-view CT reconstruction.
Zhang P; Li K
Comput Methods Programs Biomed; 2022 Nov; 226():107168. PubMed ID: 36219892
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module.
Feng J; Zhang H; Geng M; Chen H; Jia K; Sun Z; Li Z; Cao X; Pogue BW
J Biomed Opt; 2023 Feb; 28(2):026004. PubMed ID: 36818584
[TBL] [Abstract][Full Text] [Related]
5. LU-Net: combining LSTM and U-Net for sinogram synthesis in sparse-view SPECT reconstruction.
Li S; Ye W; Li F
Math Biosci Eng; 2022 Feb; 19(4):4320-4340. PubMed ID: 35341300
[TBL] [Abstract][Full Text] [Related]
6. EPRI sparse reconstruction method based on deep learning.
Du C; Qiao Z
Magn Reson Imaging; 2023 Apr; 97():24-30. PubMed ID: 36493992
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A cascade-based dual-domain data correction network for sparse view CT image reconstruction.
Li Q; Li R; Wang T; Cheng Y; Qiang Y; Wu W; Zhao J; Zhang D
Comput Biol Med; 2023 Oct; 165():107345. PubMed ID: 37603960
[TBL] [Abstract][Full Text] [Related]
9. Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior.
Kang Y; Liu J; Wu F; Wang K; Qiang J; Hu D; Zhang Y
Comput Methods Programs Biomed; 2024 Feb; 244():108010. PubMed ID: 38199137
[TBL] [Abstract][Full Text] [Related]
10. Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images.
Kim S; Kim B; Lee J; Baek J
Med Phys; 2023 Dec; 50(12):7731-7747. PubMed ID: 37303108
[TBL] [Abstract][Full Text] [Related]
11. Ultra-low dose CT attenuation correction for PET/CT: analysis of sparse view data acquisition and reconstruction algorithms.
Rui X; Cheng L; Long Y; Fu L; Alessio AM; Asma E; Kinahan PE; De Man B
Phys Med Biol; 2015 Oct; 60(19):7437-60. PubMed ID: 26352168
[TBL] [Abstract][Full Text] [Related]
12. Dual-domain sparse-view CT reconstruction with Transformers.
Shi C; Xiao Y; Chen Z
Phys Med; 2022 Sep; 101():1-7. PubMed ID: 35849908
[TBL] [Abstract][Full Text] [Related]
13. Hierarchical decomposed dual-domain deep learning for sparse-view CT reconstruction.
Han Y
Phys Med Biol; 2024 Apr; 69(8):. PubMed ID: 38457843
[No Abstract] [Full Text] [Related]
14. A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation.
Kim B; Shim H; Baek J
Med Phys; 2022 Dec; 49(12):7497-7515. PubMed ID: 35880806
[TBL] [Abstract][Full Text] [Related]
15. Median prior constrained TV algorithm for sparse view low-dose CT reconstruction.
Liu Y; Shangguan H; Zhang Q; Zhu H; Shu H; Gui Z
Comput Biol Med; 2015 May; 60():117-31. PubMed ID: 25817533
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Bone-induced streak artifact suppression in sparse-view CT image reconstruction.
Jin SO; Kim JG; Lee SY; Kwon OK
Biomed Eng Online; 2012 Aug; 11():44. PubMed ID: 22856868
[TBL] [Abstract][Full Text] [Related]
18. Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS).
Zhang C; Li Y; Chen GH
Med Phys; 2021 Oct; 48(10):5765-5781. PubMed ID: 34458996
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
