BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 37603577)

  • 1. Medical applications of generative adversarial network: a visualization analysis.
    Zhang F; Wang L; Zhao J; Zhang X
    Acta Radiol; 2023 Oct; 64(10):2757-2767. PubMed ID: 37603577
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Generative adversarial networks in medical image segmentation: A review.
    Xun S; Li D; Zhu H; Chen M; Wang J; Li J; Chen M; Wu B; Zhang H; Chai X; Jiang Z; Zhang Y; Huang P
    Comput Biol Med; 2022 Jan; 140():105063. PubMed ID: 34864584
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.
    Saeed AQ; Sheikh Abdullah SNH; Che-Hamzah J; Abdul Ghani AT
    J Med Internet Res; 2021 Sep; 23(9):e27414. PubMed ID: 34236992
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Medical Image Processing based on Generative Adversarial Networks: A Systematic Review.
    Liu J; Li K; Dong H; Han Y; Li R
    Curr Med Imaging; 2023 Oct; ():. PubMed ID: 37881080
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Generative Adversarial Network (Generative Artificial Intelligence) in Pediatric Radiology: A Systematic Review.
    Ng CKC
    Children (Basel); 2023 Aug; 10(8):. PubMed ID: 37628371
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generative Adversarial Networks: A Primer for Radiologists.
    Wolterink JM; Mukhopadhyay A; Leiner T; Vogl TJ; Bucher AM; Išgum I
    Radiographics; 2021; 41(3):840-857. PubMed ID: 33891522
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.
    Wu T; Duan Y; Zhang T; Tian W; Liu H; Deng Y
    Front Biosci (Landmark Ed); 2022 Aug; 27(9):254. PubMed ID: 36224012
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Medical long-tailed learning for imbalanced data: Bibliometric analysis.
    Wu Z; Guo K; Luo E; Wang T; Wang S; Yang Y; Zhu X; Ding R
    Comput Methods Programs Biomed; 2024 Apr; 247():108106. PubMed ID: 38452661
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review.
    Apostolopoulos ID; Papathanasiou ND; Apostolopoulos DJ; Panayiotakis GS
    Eur J Nucl Med Mol Imaging; 2022 Sep; 49(11):3717-3739. PubMed ID: 35451611
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generative Adversarial Networks in Medical Image Processing.
    Gong M; Chen S; Chen Q; Zeng Y; Zhang Y
    Curr Pharm Des; 2021; 27(15):1856-1868. PubMed ID: 33238866
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generative Adversarial Networks and Its Applications in Biomedical Informatics.
    Lan L; You L; Zhang Z; Fan Z; Zhao W; Zeng N; Chen Y; Zhou X
    Front Public Health; 2020; 8():164. PubMed ID: 32478029
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generative Adversarial Network Technologies and Applications in Computer Vision.
    Jin L; Tan F; Jiang S
    Comput Intell Neurosci; 2020; 2020():1459107. PubMed ID: 32802024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
    Jeong JJ; Tariq A; Adejumo T; Trivedi H; Gichoya JW; Banerjee I
    J Digit Imaging; 2022 Apr; 35(2):137-152. PubMed ID: 35022924
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Generative artificial intelligence in ophthalmology.
    Waisberg E; Ong J; Kamran SA; Masalkhi M; Paladugu P; Zaman N; Lee AG; Tavakkoli A
    Surv Ophthalmol; 2024 May; ():. PubMed ID: 38762072
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Attention-based generative adversarial network in medical imaging: A narrative review.
    Zhao J; Hou X; Pan M; Zhang H
    Comput Biol Med; 2022 Oct; 149():105948. PubMed ID: 35994931
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Generative adversarial networks unlock new methods for cognitive science.
    Goetschalckx L; Andonian A; Wagemans J
    Trends Cogn Sci; 2021 Sep; 25(9):788-801. PubMed ID: 34364792
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence in diabetic retinopathy: Bibliometric analysis.
    Poly TN; Islam MM; Walther BA; Lin MC; Jack Li YC
    Comput Methods Programs Biomed; 2023 Apr; 231():107358. PubMed ID: 36731310
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.