151 related articles for article (PubMed ID: 37604079)
1. Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction.
Ernst P; Chatterjee S; Rose G; Speck O; Nürnberger A
Neural Netw; 2023 Sep; 166():704-721. PubMed ID: 37604079
[TBL] [Abstract][Full Text] [Related]
2. ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data.
Chatterjee S; Breitkopf M; Sarasaen C; Yassin H; Rose G; Nürnberger A; Speck O
Comput Biol Med; 2022 Apr; 143():105321. PubMed ID: 35219188
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.
Lee D; Choi S; Kim HJ
Med Phys; 2019 Jan; 46(1):104-115. PubMed ID: 30362117
[TBL] [Abstract][Full Text] [Related]
5. A transformer-based dual-domain network for reconstructing FOV extended cone-beam CT images from truncated sinograms in radiation therapy.
Gao L; Xie K; Sun J; Lin T; Sui J; Yang G; Ni X
Comput Methods Programs Biomed; 2023 Nov; 241():107767. PubMed ID: 37633083
[TBL] [Abstract][Full Text] [Related]
6. Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast.
Rastogi A; Yalavarthy PK
Med Phys; 2020 Oct; 47(10):4838-4861. PubMed ID: 32780871
[TBL] [Abstract][Full Text] [Related]
7. Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study.
Rastogi A; Brugnara G; Foltyn-Dumitru M; Mahmutoglu MA; Preetha CJ; Kobler E; Pflüger I; Schell M; Deike-Hofmann K; Kessler T; van den Bent MJ; Idbaih A; Platten M; Brandes AA; Nabors B; Stupp R; Bernhardt D; Debus J; Abdollahi A; Gorlia T; Tonn JC; Weller M; Maier-Hein KH; Radbruch A; Wick W; Bendszus M; Meredig H; Kurz FT; Vollmuth P
Lancet Oncol; 2024 Mar; 25(3):400-410. PubMed ID: 38423052
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Computationally efficient deep neural network for computed tomography image reconstruction.
Wu D; Kim K; Li Q
Med Phys; 2019 Nov; 46(11):4763-4776. PubMed ID: 31132144
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models.
Beljaards L; Pezzotti N; Rao C; Doneva M; van Osch MJP; Staring M
Med Phys; 2024 May; 51(5):3555-3565. PubMed ID: 38167996
[TBL] [Abstract][Full Text] [Related]
12. Wavelet-based joint CT-MRI reconstruction.
Cui X; Mili L; Wang G; Yu H
J Xray Sci Technol; 2018; 26(3):379-393. PubMed ID: 29562574
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A novel hybrid generative adversarial network for CT and MRI super-resolution reconstruction.
Xiao Y; Chen C; Wang L; Yu J; Fu X; Zou Y; Lin Z; Wang K
Phys Med Biol; 2023 Jun; 68(13):. PubMed ID: 37285848
[No Abstract] [Full Text] [Related]
15. An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction.
Oh C; Chung JY; Han Y
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236376
[TBL] [Abstract][Full Text] [Related]
16. Projection-Based cascaded U-Net model for MR image reconstruction.
Aghabiglou A; Eksioglu EM
Comput Methods Programs Biomed; 2021 Aug; 207():106151. PubMed ID: 34052771
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.
Terpstra ML; Maspero M; d'Agata F; Stemkens B; Intven MPW; Lagendijk JJW; van den Berg CAT; Tijssen RHN
Phys Med Biol; 2020 Aug; 65(15):155015. PubMed ID: 32408295
[TBL] [Abstract][Full Text] [Related]
18. Spectrotemporal CT data acquisition and reconstruction at low dose.
Clark DP; Lee CL; Kirsch DG; Badea CT
Med Phys; 2015 Nov; 42(11):6317-36. PubMed ID: 26520724
[TBL] [Abstract][Full Text] [Related]
19. Generative adversarial networks improve interior computed tomography angiography reconstruction.
Ketola JHJ; Heino H; Juntunen MAK; Nieminen MT; Siltanen S; Inkinen SI
Biomed Phys Eng Express; 2021 Oct; 7(6):. PubMed ID: 34673559
[TBL] [Abstract][Full Text] [Related]
20. Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss.
Subbakrishna Adishesha A; Vanselow DJ; La Riviere P; Cheng KC; Huang SX
Comput Methods Programs Biomed; 2023 Dec; 242():107802. PubMed ID: 37738839
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
