238 related articles for article (PubMed ID: 34312047)
1. Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning.
Zhu X; Gao Y; Liu F; Crozier S; Sun H
Z Med Phys; 2022 May; 32(2):188-198. PubMed ID: 34312047
[TBL] [Abstract][Full Text] [Related]
2. xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks.
Gao Y; Zhu X; Moffat BA; Glarin R; Wilman AH; Pike GB; Crozier S; Liu F; Sun H
NMR Biomed; 2021 Mar; 34(3):e4461. PubMed ID: 33368705
[TBL] [Abstract][Full Text] [Related]
3. Harmonic field extension for QSM with reduced spatial coverage using physics-informed generative adversarial network.
Jung S; Jeon S; Gho SM; Lee HJ; Jung KJ; Kim DH
Neuroimage; 2024 Mar; 288():120528. PubMed ID: 38311125
[TBL] [Abstract][Full Text] [Related]
4. Structural and functional quantitative susceptibility mapping from standard fMRI studies.
Sun H; Seres P; Wilman AH
NMR Biomed; 2017 Apr; 30(4):. PubMed ID: 27687150
[TBL] [Abstract][Full Text] [Related]
5. Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.
Gao Y; Xiong Z; Shan S; Liu Y; Rong P; Li M; Wilman AH; Pike GB; Liu F; Sun H
Med Image Anal; 2024 May; 94():103160. PubMed ID: 38552528
[TBL] [Abstract][Full Text] [Related]
6. Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep gray matter.
Elkady AM; Sun H; Wilman AH
Magn Reson Imaging; 2016 May; 34(4):574-8. PubMed ID: 26721523
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Towards in vivo ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.
Shi Y; Feng R; Li Z; Zhuang J; Zhang Y; Wei H
Neuroimage; 2022 Nov; 261():119522. PubMed ID: 35905811
[TBL] [Abstract][Full Text] [Related]
9. Age-dependent changes in brain iron deposition and volume in deep gray matter nuclei using quantitative susceptibility mapping.
Li G; Tong R; Zhang M; Gillen KM; Jiang W; Du Y; Wang Y; Li J
Neuroimage; 2023 Apr; 269():119923. PubMed ID: 36739101
[TBL] [Abstract][Full Text] [Related]
10. On the value of QSM from MPRAGE for segmenting and quantifying iron-rich deep gray matter.
Naji N; Sun H; Wilman AH
Magn Reson Med; 2020 Sep; 84(3):1486-1500. PubMed ID: 32125012
[TBL] [Abstract][Full Text] [Related]
11. BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.
Zhu X; Gao Y; Liu F; Crozier S; Sun H
Z Med Phys; 2023 Nov; 33(4):578-590. PubMed ID: 36064695
[TBL] [Abstract][Full Text] [Related]
12. STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping.
Chen Y; Liu S; Wang Y; Kang Y; Haacke EM
Magn Reson Imaging; 2018 Feb; 46():130-139. PubMed ID: 29056394
[TBL] [Abstract][Full Text] [Related]
13. Affine transformation edited and refined deep neural network for quantitative susceptibility mapping.
Xiong Z; Gao Y; Liu F; Sun H
Neuroimage; 2023 Feb; 267():119842. PubMed ID: 36586542
[TBL] [Abstract][Full Text] [Related]
14. Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method.
Sun H; Ma Y; MacDonald ME; Pike GB
Neuroimage; 2018 Oct; 179():166-175. PubMed ID: 29906634
[TBL] [Abstract][Full Text] [Related]
15. Voxel-Based Intraclass Correlation Coefficient to Evaluate the Inter- Scanner Reproducibility of Quantitative Susceptibility Mapping Over the Deep Gray Matter Structure at 3.0T MR.
Meng Q; Liu M; Chen Z
Curr Med Imaging; 2022; 18(9):924-930. PubMed ID: 35170418
[TBL] [Abstract][Full Text] [Related]
16. MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.
Feng R; Zhao J; Wang H; Yang B; Feng J; Shi Y; Zhang M; Liu C; Zhang Y; Zhuang J; Wei H
Neuroimage; 2021 Oct; 240():118376. PubMed ID: 34246768
[TBL] [Abstract][Full Text] [Related]
17. Thin slab quantitative susceptibility mapping.
Naji N; Wilman A
Magn Reson Med; 2023 Dec; 90(6):2290-2305. PubMed ID: 37526029
[TBL] [Abstract][Full Text] [Related]
18. Sub-voxel quantitative susceptibility mapping for assessing whole-brain magnetic susceptibility from ages 4 to 80.
Lao G; Liu Q; Li Z; Guan X; Xu X; Zhang Y; Wei H
Hum Brain Mapp; 2023 Dec; 44(17):5953-5971. PubMed ID: 37721369
[TBL] [Abstract][Full Text] [Related]
19. Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis.
Voon CC; Wiltgen T; Wiestler B; Schlaeger S; Mühlau M
Neuroimage Clin; 2024; 42():103598. PubMed ID: 38582068
[TBL] [Abstract][Full Text] [Related]
20. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.
Bilgic B; Pfefferbaum A; Rohlfing T; Sullivan EV; Adalsteinsson E
Neuroimage; 2012 Feb; 59(3):2625-35. PubMed ID: 21925274
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]