119 related articles for article (PubMed ID: 36523647)
1. Exploring the Acceleration Limits of Deep Learning Variational Network-based Two-dimensional Brain MRI.
Radmanesh A; Muckley MJ; Murrell T; Lindsey E; Sriram A; Knoll F; Sodickson DK; Lui YW
Radiol Artif Intell; 2022 Nov; 4(6):e210313. PubMed ID: 36523647
[TBL] [Abstract][Full Text] [Related]
2. Time domain principal component analysis for rapid, real-time 2D MRI reconstruction from undersampled data.
Wright M; Dietz B; Yip E; Yun J; Gabos Z; Fallone BG; Wachowicz K
Med Phys; 2021 Nov; 48(11):6724-6739. PubMed ID: 34528275
[TBL] [Abstract][Full Text] [Related]
3. Dual-domain accelerated MRI reconstruction using transformers with learning-based undersampling.
Hong GQ; Wei YT; Morley WAW; Wan M; Mertens AJ; Su Y; Cheng HM
Comput Med Imaging Graph; 2023 Jun; 106():102206. PubMed ID: 36857952
[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. NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation.
Khawaled S; Freiman M
Artif Intell Med; 2024 Mar; 149():102798. PubMed ID: 38462289
[TBL] [Abstract][Full Text] [Related]
6. A densely interconnected network for deep learning accelerated MRI.
Ottesen JA; Caan MWA; Groote IR; Bjørnerud A
MAGMA; 2023 Feb; 36(1):65-77. PubMed ID: 36103029
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Deep learning-based convolutional neural network for intramodality brain MRI synthesis.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Apr; 23(4):e13530. PubMed ID: 35044073
[TBL] [Abstract][Full Text] [Related]
9. Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction.
Fotaki A; Fuin N; Nordio G; Velasco Jimeno C; Qi H; Emmanuel Y; Pushparajah K; Botnar RM; Prieto C
Magn Reson Imaging; 2022 Oct; 92():120-132. PubMed ID: 35772584
[TBL] [Abstract][Full Text] [Related]
10. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
[TBL] [Abstract][Full Text] [Related]
11. Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.
Recht MP; Zbontar J; Sodickson DK; Knoll F; Yakubova N; Sriram A; Murrell T; Defazio A; Rabbat M; Rybak L; Kline M; Ciavarra G; Alaia EF; Samim M; Walter WR; Lin DJ; Lui YW; Muckley M; Huang Z; Johnson P; Stern R; Zitnick CL
AJR Am J Roentgenol; 2020 Dec; 215(6):1421-1429. PubMed ID: 32755163
[No Abstract] [Full Text] [Related]
12. Transfer learning in deep neural network based under-sampled MR image reconstruction.
Arshad M; Qureshi M; Inam O; Omer H
Magn Reson Imaging; 2021 Feb; 76():96-107. PubMed ID: 32980504
[TBL] [Abstract][Full Text] [Related]
13. Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.
Gao Y; Cloos M; Liu F; Crozier S; Pike GB; Sun H
Neuroimage; 2021 Oct; 240():118404. PubMed ID: 34280526
[TBL] [Abstract][Full Text] [Related]
14. A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers.
Iuga AI; Rauen PS; Siedek F; Große-Hokamp N; Sonnabend K; Maintz D; Lennartz S; Bratke G
Br J Radiol; 2023 Jun; 96(1146):20220074. PubMed ID: 37086077
[TBL] [Abstract][Full Text] [Related]
15. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.
Chun J; Zhang H; Gach HM; Olberg S; Mazur T; Green O; Kim T; Kim H; Kim JS; Mutic S; Park JC
Med Phys; 2019 Sep; 46(9):4148-4164. PubMed ID: 31309585
[TBL] [Abstract][Full Text] [Related]
16. Accelerated two-dimensional phase-contrast for cardiovascular MRI using deep learning-based reconstruction with complex difference estimation.
Oscanoa JA; Middione MJ; Syed AB; Sandino CM; Vasanawala SS; Ennis DB
Magn Reson Med; 2023 Jan; 89(1):356-369. PubMed ID: 36093915
[TBL] [Abstract][Full Text] [Related]
17. Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.
Herrmann J; Keller G; Gassenmaier S; Nickel D; Koerzdoerfer G; Mostapha M; Almansour H; Afat S; Othman AE
Eur Radiol; 2022 Sep; 32(9):6215-6229. PubMed ID: 35389046
[TBL] [Abstract][Full Text] [Related]
18. Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination.
Hammernik K; Schlemper J; Qin C; Duan J; Summers RM; Rueckert D
Magn Reson Med; 2021 Oct; 86(4):1859-1872. PubMed ID: 34110037
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.
Almansour H; Herrmann J; Gassenmaier S; Afat S; Jacoby J; Koerzdoerfer G; Nickel D; Mostapha M; Nadar M; Othman AE
Radiology; 2023 Mar; 306(3):e212922. PubMed ID: 36318032
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
