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.
138 related articles for article (PubMed ID: 38459398)
1. Feature Fusion for Multi-Coil Compressed MR Image Reconstruction. Cheng H; Hou X; Huang G; Jia S; Yang G; Nie S J Imaging Inform Med; 2024 Aug; 37(4):1969-1979. PubMed ID: 38459398 [TBL] [Abstract][Full Text] [Related]
2. FFVN: An explicit feature fusion-based variational network for accelerated multi-coil MRI reconstruction. Zhang Z; Du H; Qiu B Magn Reson Imaging; 2023 Apr; 97():31-45. PubMed ID: 36586627 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Calibrationless reconstruction of uniformly-undersampled multi-channel MR data with deep learning estimated ESPIRiT maps. Zhang J; Yi Z; Zhao Y; Xiao L; Hu J; Man C; Lau V; Su S; Chen F; Leong ATL; Wu EX Magn Reson Med; 2023 Jul; 90(1):280-294. PubMed ID: 37119514 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep supervised dictionary learning by algorithm unrolling-Application to fast 2D dynamic MR image reconstruction. Kofler A; Pali MC; Schaeffter T; Kolbitsch C Med Phys; 2023 May; 50(5):2939-2960. PubMed ID: 36565150 [TBL] [Abstract][Full Text] [Related]
7. Data-efficient Bayesian learning for radial dynamic MR reconstruction. Brahma S; Kolbitsch C; Martin J; Schaeffter T; Kofler A Med Phys; 2023 Nov; 50(11):6955-6977. PubMed ID: 37367947 [TBL] [Abstract][Full Text] [Related]
8. Accelerating CEST imaging using a model-based deep neural network with synthetic training data. Xu J; Zu T; Hsu YC; Wang X; Chan KWY; Zhang Y Magn Reson Med; 2024 Feb; 91(2):583-599. PubMed ID: 37867413 [TBL] [Abstract][Full Text] [Related]
9. Deep compressed sensing MRI via a gradient-enhanced fusion model. Dai Y; Wang C; Wang H Med Phys; 2023 Mar; 50(3):1390-1405. PubMed ID: 36695158 [TBL] [Abstract][Full Text] [Related]
10. Dual-domain faster Fourier convolution based network for MR image reconstruction. Liu X; Pang Y; Liu Y; Jin R; Sun Y; Liu Y; Xiao J Comput Biol Med; 2024 Jul; 177():108603. PubMed ID: 38781646 [TBL] [Abstract][Full Text] [Related]
11. Effect of MR head coil geometry on deep-learning-based MR image reconstruction. Dubljevic N; Moore S; Lauzon ML; Souza R; Frayne R Magn Reson Med; 2024 Oct; 92(4):1404-1420. PubMed ID: 38647191 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis. Touati R; Kadoury S Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37257456 [No Abstract] [Full Text] [Related]
15. A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction. Murugesan B; Ramanarayanan S; Vijayarangan S; Ram K; Jagannathan NR; Sivaprakasam M Comput Med Imaging Graph; 2021 Jul; 91():101942. PubMed ID: 34087612 [TBL] [Abstract][Full Text] [Related]
16. Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes. Dar SUH; Öztürk Ş; Özbey M; Oguz KK; Çukur T Comput Biol Med; 2023 Dec; 167():107610. PubMed ID: 37883853 [TBL] [Abstract][Full Text] [Related]
17. MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network. U N; P M A Magn Reson Imaging; 2024 Jul; 110():195-209. PubMed ID: 38653336 [TBL] [Abstract][Full Text] [Related]
18. LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction. Yang Z; Jiang M; Ruan D; Li Y; Tan T; Huang S; Liu F Comput Methods Programs Biomed; 2024 Oct; 255():108359. PubMed ID: 39096571 [TBL] [Abstract][Full Text] [Related]
19. Reconstruction by calibration over tensors for multi-coil multi-acquisition balanced SSFP imaging. Biyik E; Ilicak E; Çukur T Magn Reson Med; 2018 May; 79(5):2542-2554. PubMed ID: 28862350 [TBL] [Abstract][Full Text] [Related]
20. Coil sketching for computationally efficient MR iterative reconstruction. Oscanoa JA; Ong F; Iyer SS; Li Z; Sandino CM; Ozturkler B; Ennis DB; Pilanci M; Vasanawala SS Magn Reson Med; 2024 Feb; 91(2):784-802. PubMed ID: 37848365 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]