BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 35753595)

  • 21. Joint 2D and 3D phase processing for quantitative susceptibility mapping: application to 2D echo-planar imaging.
    Wei H; Zhang Y; Gibbs E; Chen NK; Wang N; Liu C
    NMR Biomed; 2017 Apr; 30(4):. PubMed ID: 26887812
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).
    Jo M; Oh SH
    Med Phys; 2020 Mar; 47(3):1151-1160. PubMed ID: 31883389
    [TBL] [Abstract][Full Text] [Related]  

  • 23. QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.
    Chen Y; Jakary A; Avadiappan S; Hess CP; Lupo JM
    Neuroimage; 2020 Feb; 207():116389. PubMed ID: 31760151
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation.
    Zhang M; Feng R; Li Z; Feng J; Wu Q; Zhang Z; Ma C; Wu J; Yan F; Liu C; Zhang Y; Wei H
    Med Image Anal; 2024 Jul; 95():103173. PubMed ID: 38657424
    [TBL] [Abstract][Full Text] [Related]  

  • 25. NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data.
    Cognolato F; O'Brien K; Jin J; Robinson S; Laun FB; Barth M; Bollmann S
    Med Image Anal; 2023 Feb; 84():102700. PubMed ID: 36529002
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep learning-regularized, single-step quantitative susceptibility mapping quantification.
    Wang Z; Mak HK; Cao P
    NMR Biomed; 2023 Mar; 36(3):e4849. PubMed ID: 36259729
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps.
    Zhang H; Nguyen TD; Zhang J; Marcille M; Spincemaille P; Wang Y; Gauthier SA; Sweeney EM
    Neuroimage Clin; 2022; 34():102979. PubMed ID: 35247730
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Quantitative susceptibility mapping using multi-channel convolutional neural networks with dipole-adaptive multi-frequency inputs.
    Si W; Guo Y; Zhang Q; Zhang J; Wang Y; Feng Y
    Front Neurosci; 2023; 17():1165446. PubMed ID: 37383103
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Phase processing for quantitative susceptibility mapping of regions with large susceptibility and lack of signal.
    Fortier V; Levesque IR
    Magn Reson Med; 2018 Jun; 79(6):3103-3113. PubMed ID: 29130526
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Multi-echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla.
    Biondetti E; Karsa A; Grussu F; Battiston M; Yiannakas MC; Thomas DL; Shmueli K
    Magn Reson Med; 2022 Nov; 88(5):2101-2116. PubMed ID: 35766450
    [TBL] [Abstract][Full Text] [Related]  

  • 33. SHARQnet - Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network.
    Bollmann S; Kristensen MH; Larsen MS; Olsen MV; Pedersen MJ; Østergaard LR; O'Brien K; Langkammer C; Fazlollahi A; Barth M
    Z Med Phys; 2019 May; 29(2):139-149. PubMed ID: 30773331
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.
    Bollmann S; Rasmussen KGB; Kristensen M; Blendal RG; Østergaard LR; Plocharski M; O'Brien K; Langkammer C; Janke A; Barth M
    Neuroimage; 2019 Jul; 195():373-383. PubMed ID: 30935908
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Multiecho complex total field inversion method (mcTFI) for improved signal modeling in quantitative susceptibility mapping.
    Wen Y; Spincemaille P; Nguyen T; Cho J; Kovanlikaya I; Anderson J; Wu G; Yang B; Fung M; Li K; Kelley D; Benhamo N; Wang Y
    Magn Reson Med; 2021 Oct; 86(4):2165-2178. PubMed ID: 34028868
    [TBL] [Abstract][Full Text] [Related]  

  • 36. On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping.
    Eskreis-Winkler S; Zhou D; Liu T; Gupta A; Gauthier SA; Wang Y; Spincemaille P
    Magn Reson Imaging; 2017 Jan; 35():154-159. PubMed ID: 27587225
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Phase-based masking for quantitative susceptibility mapping of the human brain at 9.4T.
    Hagberg GE; Eckstein K; Tuzzi E; Zhou J; Robinson S; Scheffler K
    Magn Reson Med; 2022 Nov; 88(5):2267-2276. PubMed ID: 35754142
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A robust multi-scale approach to quantitative susceptibility mapping.
    Acosta-Cabronero J; Milovic C; Mattern H; Tejos C; Speck O; Callaghan MF
    Neuroimage; 2018 Dec; 183():7-24. PubMed ID: 30075277
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Maximum spherical mean value filtering for whole-brain QSM.
    Roberts AG; Romano DJ; Şişman M; Dimov AV; Nguyen TD; Kovanlikaya I; Gauthier SA; Wang Y; Spincemaille P
    Magn Reson Med; 2024 Apr; 91(4):1586-1597. PubMed ID: 38169132
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Rapid two-step dipole inversion for susceptibility mapping with sparsity priors.
    Kames C; Wiggermann V; Rauscher A
    Neuroimage; 2018 Feb; 167():276-283. PubMed ID: 29138089
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.