BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 36281320)

  • 1. Photoacoustic image synthesis with generative adversarial networks.
    Schellenberg M; Gröhl J; Dreher KK; Nölke JH; Holzwarth N; Tizabi MD; Seitel A; Maier-Hein L
    Photoacoustics; 2022 Dec; 28():100402. PubMed ID: 36281320
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition.
    Gao F; Ma F; Wang J; Sun J; Yang E; Zhou H
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30126120
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks.
    Chen JS; Coyner AS; Chan RVP; Hartnett ME; Moshfeghi DM; Owen LA; Kalpathy-Cramer J; Chiang MF; Campbell JP
    Ophthalmol Sci; 2021 Dec; 1(4):100079. PubMed ID: 36246951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders.
    Zheng C; Xie X; Zhou K; Chen B; Chen J; Ye H; Li W; Qiao T; Gao S; Yang J; Liu J
    Transl Vis Sci Technol; 2020 May; 9(2):29. PubMed ID: 32832202
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning.
    Guan S; Khan AA; Sikdar S; Chitnis PV
    Sci Rep; 2020 May; 10(1):8510. PubMed ID: 32444649
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Semi-supervised generative adversarial networks for closed-angle detection on anterior segment optical coherence tomography images: an empirical study with a small training dataset.
    Zheng C; Koh V; Bian F; Li L; Xie X; Wang Z; Yang J; Chew PTK; Zhang M
    Ann Transl Med; 2021 Jul; 9(13):1073. PubMed ID: 34422985
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks.
    Ahmad B; Sun J; You Q; Palade V; Mao Z
    Biomedicines; 2022 Jan; 10(2):. PubMed ID: 35203433
    [TBL] [Abstract][Full Text] [Related]  

  • 8. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.
    Zhang H; Xu T; Li H; Zhang S; Wang X; Huang X; Metaxas DN
    IEEE Trans Pattern Anal Mach Intell; 2019 Aug; 41(8):1947-1962. PubMed ID: 30010548
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
    Wang Y; Yu B; Wang L; Zu C; Lalush DS; Lin W; Wu X; Zhou J; Shen D; Zhou L
    Neuroimage; 2018 Jul; 174():550-562. PubMed ID: 29571715
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Narrative review of generative adversarial networks in medical and molecular imaging.
    Koshino K; Werner RA; Pomper MG; Bundschuh RA; Toriumi F; Higuchi T; Rowe SP
    Ann Transl Med; 2021 May; 9(9):821. PubMed ID: 34268434
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feasibility of a Generative Adversarial Network for Artifact Removal in Experimental Photoacoustic Imaging.
    Shahid H; Khalid A; Yue Y; Liu X; Ta D
    Ultrasound Med Biol; 2022 Aug; 48(8):1628-1643. PubMed ID: 35660105
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study.
    Lee JH; Han IH; Kim DH; Yu S; Lee IS; Song YS; Joo S; Jin CB; Kim H
    J Korean Neurosurg Soc; 2020 May; 63(3):386-396. PubMed ID: 31931556
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adversarial Confidence Learning for Medical Image Segmentation and Synthesis.
    Nie D; Shen D
    Int J Comput Vis; 2020 Nov; 128(10-11):2494-2513. PubMed ID: 34149167
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
    Ali H; Shah Z
    JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Creating realistic anterior segment optical coherence tomography images using generative adversarial networks.
    Assaf JF; Abou Mrad A; Reinstein DZ; Amescua G; Zakka C; Archer TJ; Yammine J; Lamah E; Haykal M; Awwad ST
    Br J Ophthalmol; 2024 May; ():. PubMed ID: 38697800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhanced cell segmentation with limited annotated data using generative adversarial networks.
    Zargari A; Mashhadi N; Shariati SA
    bioRxiv; 2023 Jul; ():. PubMed ID: 37546774
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks.
    Posilović L; Medak D; Subašić M; Budimir M; Lončarić S
    Ultrasonics; 2022 Feb; 119():106610. PubMed ID: 34735930
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
    Johnson PM; Drangova M
    Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection.
    Zheng C; Bian F; Li L; Xie X; Liu H; Liang J; Chen X; Wang Z; Qiao T; Yang J; Zhang M
    Transl Vis Sci Technol; 2021 Apr; 10(4):34. PubMed ID: 34004012
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks.
    Subramaniam P; Kossen T; Ritter K; Hennemuth A; Hildebrand K; Hilbert A; Sobesky J; Livne M; Galinovic I; Khalil AA; Fiebach JB; Frey D; Madai VI
    Med Image Anal; 2022 May; 78():102396. PubMed ID: 35231850
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.