BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 38082859)

  • 1. Bidirectional Mapping Perception-enhanced Cycle-consistent Generative Adversarial Network for Super-resolution of Brain MRI images.
    Sun J; Jiang J; Ling R; Wang L; Jiang J; Wang M
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082859
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. MRI super-resolution via realistic downsampling with adversarial learning.
    Huang B; Xiao H; Liu W; Zhang Y; Wu H; Wang W; Yang Y; Yang Y; Miller GW; Li T; Cai J
    Phys Med Biol; 2021 Oct; 66(20):. PubMed ID: 34474407
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Texture transformer super-resolution for low-dose computed tomography.
    Zhou S; Yu L; Jin M
    Biomed Phys Eng Express; 2022 Nov; 8(6):. PubMed ID: 36301699
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network.
    Cui J; Gong K; Han P; Liu H; Li Q
    Med Phys; 2022 Apr; 49(4):2373-2385. PubMed ID: 35048390
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution.
    Zhang H; Shinomiya Y; Yoshida S
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33922811
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
    Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
    Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Channel attention generative adversarial network for super-resolution of glioma magnetic resonance image.
    Song Z; Qiu D; Zhao X; Lin D; Hui Y
    Comput Methods Programs Biomed; 2023 Feb; 229():107255. PubMed ID: 36462426
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.
    Zhao M; Liu X; Liu H; Wong KKL
    Comput Med Imaging Graph; 2020 Mar; 80():101698. PubMed ID: 31935666
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer's disease diagnosis.
    Zhang J; He X; Qing L; Gao F; Wang B
    Comput Methods Programs Biomed; 2022 Apr; 217():106676. PubMed ID: 35167997
    [TBL] [Abstract][Full Text] [Related]  

  • 12. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN).
    Li Z; Tian Q; Ngamsombat C; Cartmell S; Conklin J; Filho ALMG; Lo WC; Wang G; Ying K; Setsompop K; Fan Q; Bilgic B; Cauley S; Huang SY
    Med Phys; 2022 Feb; 49(2):1000-1014. PubMed ID: 34961944
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensing.
    Ueki W; Nishii T; Umehara K; Ota J; Higuchi S; Ohta Y; Nagai Y; Murakawa K; Ishida T; Fukuda T
    Acta Radiol; 2023 Jan; 64(1):336-345. PubMed ID: 35118883
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images.
    Zhao M; Wei Y; Wong KKL
    Magn Reson Imaging; 2022 Jan; 85():153-160. PubMed ID: 34699953
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Self-supervised learning for accelerated 3D high-resolution ultrasound imaging.
    Dai X; Lei Y; Wang T; Axente M; Xu D; Patel P; Jani AB; Curran WJ; Liu T; Yang X
    Med Phys; 2021 Jul; 48(7):3916-3926. PubMed ID: 33993508
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision.
    Gu X; Zhang Y; Zeng W; Zhong S; Wang H; Liang D; Li Z; Hu Z
    Comput Methods Programs Biomed; 2023 Jul; 237():107571. PubMed ID: 37156020
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel hybrid generative adversarial network for CT and MRI super-resolution reconstruction.
    Xiao Y; Chen C; Wang L; Yu J; Fu X; Zou Y; Lin Z; Wang K
    Phys Med Biol; 2023 Jun; 68(13):. PubMed ID: 37285848
    [No Abstract]   [Full Text] [Related]  

  • 18. Super-resolution of brain tumor MRI images based on deep learning.
    Zhou Z; Ma A; Feng Q; Wang R; Cheng L; Chen X; Yang X; Liao K; Miao Y; Qiu Y
    J Appl Clin Med Phys; 2022 Nov; 23(11):e13758. PubMed ID: 36107021
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Super-Resolution Reconstruction of CT Images Based on Multi-scale Information Fused Generative Adversarial Networks.
    Liu X; Su S; Gu W; Yao T; Shen J; Mo Y
    Ann Biomed Eng; 2024 Jan; 52(1):57-70. PubMed ID: 38064116
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
    Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
    Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.