192 related articles for article (PubMed ID: 36527935)
1. A Joint Group Sparsity-based deep learning for multi-contrast MRI reconstruction.
Guo D; Zeng G; Fu H; Wang Z; Yang Y; Qu X
J Magn Reson; 2023 Jan; 346():107354. PubMed ID: 36527935
[TBL] [Abstract][Full Text] [Related]
2. Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform.
Lai Z; Zhang X; Guo D; Du X; Yang Y; Guo G; Chen Z; Qu X
BMC Med Imaging; 2018 May; 18(1):7. PubMed ID: 29724180
[TBL] [Abstract][Full Text] [Related]
3. Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning.
Seo S; Luu HM; Choi SH; Park SH
Med Phys; 2022 Sep; 49(9):5964-5980. PubMed ID: 35678739
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. qModeL: A plug-and-play model-based reconstruction for highly accelerated multi-shot diffusion MRI using learned priors.
Mani M; Magnotta VA; Jacob M
Magn Reson Med; 2021 Aug; 86(2):835-851. PubMed ID: 33759240
[TBL] [Abstract][Full Text] [Related]
6. Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI.
Siedler TM; Jakob PM; Herold V
Magn Reson Med; 2024 Sep; 92(3):1232-1247. PubMed ID: 38748852
[TBL] [Abstract][Full Text] [Related]
7. MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.
Liu F; Feng L; Kijowski R
Magn Reson Med; 2019 Jul; 82(1):174-188. PubMed ID: 30860285
[TBL] [Abstract][Full Text] [Related]
8. High-performance rapid MR parameter mapping using model-based deep adversarial learning.
Liu F; Kijowski R; Feng L; El Fakhri G
Magn Reson Imaging; 2020 Dec; 74():152-160. PubMed ID: 32980503
[TBL] [Abstract][Full Text] [Related]
9. Radial Undersampled MRI Reconstruction Using Deep Learning With Mutual Constraints Between Real and Imaginary Components of K-Space.
Li Z; Li S; Zhang Z; Wang F; Wu F; Gao S
IEEE J Biomed Health Inform; 2024 Jun; 28(6):3583-3596. PubMed ID: 38261493
[TBL] [Abstract][Full Text] [Related]
10. Deep learning-enhanced T
Li Y; Wang Y; Qi H; Hu Z; Chen Z; Yang R; Qiao H; Sun J; Wang T; Zhao X; Guo H; Chen H
Magn Reson Med; 2021 Sep; 86(3):1647-1661. PubMed ID: 33821529
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of Variable Density and Data-Driven K-Space Undersampling for Compressed Sensing Magnetic Resonance Imaging.
Zijlstra F; Viergever MA; Seevinck PR
Invest Radiol; 2016 Jun; 51(6):410-9. PubMed ID: 26674209
[TBL] [Abstract][Full Text] [Related]
12. Exploiting sparsity and low-rank structure for the recovery of multi-slice breast MRIs with reduced sampling error.
Yin XX; Ng BW; Ramamohanarao K; Baghai-Wadji A; Abbott D
Med Biol Eng Comput; 2012 Sep; 50(9):991-1000. PubMed ID: 22644257
[TBL] [Abstract][Full Text] [Related]
13. 2D probabilistic undersampling pattern optimization for MR image reconstruction.
Xue S; Cheng Z; Han G; Sun C; Fang K; Liu Y; Cheng J; Jin X; Bai R
Med Image Anal; 2022 Apr; 77():102346. PubMed ID: 35030342
[TBL] [Abstract][Full Text] [Related]
14. Deep neural network inspired by iterative shrinkage-thresholding algorithm with data consistency (NISTAD) for fast Undersampled MRI reconstruction.
Qiu W; Li D; Jin X; Liu F; Sun B
Magn Reson Imaging; 2020 Jul; 70():134-144. PubMed ID: 32353530
[TBL] [Abstract][Full Text] [Related]
15. MLMFNet: A multi-level modality fusion network for multi-modal accelerated MRI reconstruction.
Zhou X; Zhang Z; Du H; Qiu B
Magn Reson Imaging; 2024 Sep; 111():246-255. PubMed ID: 38663831
[TBL] [Abstract][Full Text] [Related]
16. Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior.
Zhao D; Huang Y; Zhao F; Qin B; Zheng J
Comput Math Methods Med; 2021; 2021():8865582. PubMed ID: 33552232
[TBL] [Abstract][Full Text] [Related]
17. Influence of temporal regularization and radial undersampling factor on compressed sensing reconstruction in dynamic contrast enhanced MRI of the breast.
Kim SG; Feng L; Grimm R; Freed M; Block KT; Sodickson DK; Moy L; Otazo R
J Magn Reson Imaging; 2016 Jan; 43(1):261-9. PubMed ID: 26032976
[TBL] [Abstract][Full Text] [Related]
18. Sparse MRI reconstruction using multi-contrast image guided graph representation.
Lai Z; Qu X; Lu H; Peng X; Guo D; Yang Y; Guo G; Chen Z
Magn Reson Imaging; 2017 Nov; 43():95-104. PubMed ID: 28734954
[TBL] [Abstract][Full Text] [Related]
19. Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain.
Yang B; Yuan M; Ma Y; Zhang J; Zhan K
BMC Med Imaging; 2015 Aug; 15():28. PubMed ID: 26253135
[TBL] [Abstract][Full Text] [Related]
20. HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction.
Geng C; Jiang M; Fang X; Li Y; Jin G; Chen A; Liu F
Comput Methods Programs Biomed; 2023 Apr; 232():107440. PubMed ID: 36881983
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]