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 *

198 related articles for article (PubMed ID: 35399301)

  • 1. SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss.
    Zheng T; Oda H; Hayashi Y; Moriya T; Nakamura S; Mori M; Takabatake H; Natori H; Oda M; Mori K
    J Med Imaging (Bellingham); 2022 Mar; 9(2):024003. PubMed ID: 35399301
    [No Abstract]   [Full Text] [Related]  

  • 2. Deep learning in computed tomography super resolution using multi-modality data training.
    Fok WYR; Fieselmann A; Herbst M; Ritschl L; Kappler S; Saalfeld S
    Med Phys; 2024 Apr; 51(4):2846-2860. PubMed ID: 37972365
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fast single image super-resolution using estimated low-frequency k-space data in MRI.
    Luo J; Mou Z; Qin B; Li W; Yang F; Robini M; Zhu Y
    Magn Reson Imaging; 2017 Jul; 40():1-11. PubMed ID: 28366758
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CycleGAN with mutual information loss constraint generates structurally aligned CT images from functional EIT images.
    Raza O; Lawson M; Zouari F; Wong EC; Chan RW; Cao P
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082767
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
    Zheng T; Oda H; Hayashi Y; Nakamura S; Mori M; Takabatake H; Natori H; Oda M; Mori K
    Int J Comput Assist Radiol Surg; 2024 Mar; 19(3):493-506. PubMed ID: 38129364
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-supervised super-resolution of diffusion-weighted images based on multiple references.
    Guo H; Wang L; Gu Y; Zhang J; Zhu Y
    NMR Biomed; 2023 Aug; 36(8):e4919. PubMed ID: 36908072
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Probabilistic self-learning framework for low-dose CT denoising.
    Bai T; Wang B; Nguyen D; Jiang S
    Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dual attention mechanism network for lung cancer images super-resolution.
    Zhu D; Sun D; Wang D
    Comput Methods Programs Biomed; 2022 Nov; 226():107101. PubMed ID: 36367483
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning low-dose CT degradation from unpaired data with flow-based model.
    Liu X; Liang X; Deng L; Tan S; Xie Y
    Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Imaging Study of Pseudo-CT Synthesized From Cone-Beam CT Based on 3D CycleGAN in Radiotherapy.
    Sun H; Fan R; Li C; Lu Z; Xie K; Ni X; Yang J
    Front Oncol; 2021; 11():603844. PubMed ID: 33777746
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Medical image super-resolution reconstruction via multi-scale information distillation network under multi-scale geometric transform domain].
    Wang H; Sun T
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Oct; 39(5):887-896. PubMed ID: 36310477
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Registration-free 3D super-resolution generative deep-learning network for fluorescence microscopy imaging.
    Zhou H; Li Y; Chen B; Yang H; Zou M; Wen W; Ma Y; Chen M
    Opt Lett; 2023 Dec; 48(23):6300-6303. PubMed ID: 38039252
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of an unsupervised cycle contrastive unpaired translation network for MRI-to-CT synthesis.
    Wang J; Yan B; Wu X; Jiang X; Zuo Y; Yang Y
    J Appl Clin Med Phys; 2022 Nov; 23(11):e13775. PubMed ID: 36168935
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improvement of megavoltage computed tomography image quality for adaptive helical tomotherapy using cycleGAN-based image synthesis with small datasets.
    Lee D; Jeong SW; Kim SJ; Cho H; Park W; Han Y
    Med Phys; 2021 Oct; 48(10):5593-5610. PubMed ID: 34418109
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Super-resolution biomedical imaging via reference-free statistical implicit neural representation.
    Ye S; Shen L; Islam MT; Xing L
    Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37757838
    [No Abstract]   [Full Text] [Related]  

  • 18. Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.
    Pai S; Hadzic I; Rao C; Zhovannik I; Dekker A; Traverso A; Asteriadis S; Hortal E
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772129
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of super-resolution on 50 pancreatic cancer patients with real-time cine MRI from 0.35T MRgRT.
    Chun J; Lewis B; Ji Z; Shin JI; Park JC; Kim JS; Kim T
    Biomed Phys Eng Express; 2021 Aug; 7(5):. PubMed ID: 34375963
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Synthetic CT generation from weakly paired MR images using cycle-consistent GAN for MR-guided radiotherapy.
    Kang SK; An HJ; Jin H; Kim JI; Chie EK; Park JM; Lee JS
    Biomed Eng Lett; 2021 Aug; 11(3):263-271. PubMed ID: 34350052
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.