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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 33045693)

  • 1. Deep convolution neural networks based artifact suppression in under-sampled radial acquisitions of myocardial T
    Nezafat M; El-Rewaidy H; Kucukseymen S; Hauser TH; Fahmy AS
    Phys Med Biol; 2020 Nov; 65(22):225024. PubMed ID: 33045693
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Mitigating metal artifacts from cobalt-chromium alloy crowns in cone-beam CT images through deep learning techniques].
    Jia LH; Lin HL; Zheng SW; Lin XJ; Zhang D; Yu H
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2024 Jan; 59(1):71-79. PubMed ID: 38228542
    [No Abstract]   [Full Text] [Related]  

  • 3. Correction of out-of-FOV motion artifacts using convolutional neural network.
    Wang C; Liang Y; Wu Y; Zhao S; Du YP
    Magn Reson Imaging; 2020 Sep; 71():93-102. PubMed ID: 32464243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.
    Hauptmann A; Arridge S; Lucka F; Muthurangu V; Steeden JA
    Magn Reson Med; 2019 Feb; 81(2):1143-1156. PubMed ID: 30194880
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Mitigating metal artifacts in cone-beam CT images through deep learning techniques].
    Jia LH; Lin HL; Zheng SW; Lin XJ; Zhang D; Yu H
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Dec; 59(1):71-79. PubMed ID: 38172064
    [No Abstract]   [Full Text] [Related]  

  • 6. Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI.
    El-Rewaidy H; Fahmy AS; Pashakhanloo F; Cai X; Kucukseymen S; Csecs I; Neisius U; Haji-Valizadeh H; Menze B; Nezafat R
    Magn Reson Med; 2021 Mar; 85(3):1195-1208. PubMed ID: 32924188
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reconstruction of Compressed-sensing MR Imaging Using Deep Residual Learning in the Image Domain.
    Ouchi S; Ito S
    Magn Reson Med Sci; 2021 Jun; 20(2):190-203. PubMed ID: 32611937
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reconstruction of multicontrast MR images through deep learning.
    Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
    Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.
    Gong H; Ren L; Hsieh SS; McCollough CH; Yu L
    Med Phys; 2021 Oct; 48(10):5712-5726. PubMed ID: 34415068
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning-based rapid image reconstruction and motion correction for high-resolution cartesian first-pass myocardial perfusion imaging at 3T.
    Wang J; Salerno M
    Magn Reson Med; 2024 Sep; 92(3):1104-1114. PubMed ID: 38576068
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
    Zhu H; Tong D; Zhang L; Wang S; Wu W; Tang H; Chen Y; Luo L; Zhu J; Li B
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):193-201. PubMed ID: 31673961
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A multi-scale residual network for accelerated radial MR parameter mapping.
    Fu Z; Mandava S; Keerthivasan MB; Li Z; Johnson K; Martin DR; Altbach MI; Bilgin A
    Magn Reson Imaging; 2020 Nov; 73():152-162. PubMed ID: 32882339
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI.
    El-Rewaidy H; Neisius U; Mancio J; Kucukseymen S; Rodriguez J; Paskavitz A; Menze B; Nezafat R
    NMR Biomed; 2020 Jul; 33(7):e4312. PubMed ID: 32352197
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction.
    Chan Y; Liu X; Wang T; Dai J; Xie Y; Liang X
    Comput Biol Med; 2023 Jul; 161():106888. PubMed ID: 37244146
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning network.
    Gao C; Ghodrati V; Shih SF; Wu HH; Liu Y; Nickel MD; Vahle T; Dale B; Sai V; Felker E; Surawech C; Miao Q; Finn JP; Zhong X; Hu P
    Magn Reson Imaging; 2023 Jan; 95():70-79. PubMed ID: 36270417
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DEep learning-based rapid Spiral Image REconstruction (DESIRE) for high-resolution spiral first-pass myocardial perfusion imaging.
    Wang J; Weller DS; Kramer CM; Salerno M
    NMR Biomed; 2022 May; 35(5):e4661. PubMed ID: 34939246
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Single patient convolutional neural networks for real-time MR reconstruction: coherent low-resolution versus incoherent undersampling.
    Dietz B; Yun J; Yip E; Gabos Z; Fallone BG; Wachowicz K
    Phys Med Biol; 2020 Apr; 65(8):08NT03. PubMed ID: 32135531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Metal artifact reduction on cervical CT images by deep residual learning.
    Huang X; Wang J; Tang F; Zhong T; Zhang Y
    Biomed Eng Online; 2018 Nov; 17(1):175. PubMed ID: 30482231
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.