Emerging Trends and Research Foci in Artificial Intelligence for Retinal Diseases: Bibliometric and Visualization Study

Journals

1. Yang S, Zhao S, Ye Y, Jia L, Lou Y. Global research trends on the links between gut microbiota and cancer immunotherapy: A bibliometric analysis (2012-2021). Frontiers in Immunology 2022;13 View
2. Zhang G, Sun B, Zhang Z, Wu S, Zhuo G, Rong H, Liu Y, Yang W, Shao Y. Hypermixed Convolutional Neural Network for Retinal Vein Occlusion Classification. Disease Markers 2022;2022:1 View
3. Wang R, Zuo G, Li K, Li W, Xuan Z, Han Y, Yang W. Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy. Frontiers in Endocrinology 2022;13 View
4. Zhang Y, Liu X, Qiao X, Fan Y. Characteristics and Emerging Trends in Research on Rehabilitation Robots from 2001 to 2020: Bibliometric Study. Journal of Medical Internet Research 2023;25:e42901 View
5. He J, Wang J, Han Z, Ma J, Wang C, Qi M. An interpretable transformer network for the retinal disease classification using optical coherence tomography. Scientific Reports 2023;13(1) View
6. Chen K, Zhai X, Wang S, Li X, Lu Z, Xia D, Li M. Emerging trends and research foci of deep learning in spine: bibliometric and visualization study. Neurosurgical Review 2023;46(1) View
7. Wan C, Fang J, Hua X, Chen L, Zhang S, Yang W. Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition. Frontiers in Computational Neuroscience 2023;17 View
8. Su H, Gao L, Lu Y, Jing H, Hong J, Huang L, Chen Z. Attention-guided cascaded network with pixel-importance-balance loss for retinal vessel segmentation. Frontiers in Cell and Developmental Biology 2023;11 View
9. Wu C, Lin T, Lin C, Hwang D. The future application of artificial intelligence and telemedicine in the retina: A perspective. Taiwan Journal of Ophthalmology 2023;13(2):133 View
10. Zhang J, Luo Z, Zheng Y, Cai Q, Jiang J, Zhang H, Duan M, Chen Y, Xia J, Qiu Z, Zeng J, Huang C. A bibliometric study and visualization analysis of ferroptosis-inducing cancer therapy. Heliyon 2023;9(9):e19801 View
11. Liu Z, Wan H, Tan Y, Li D, Huang J, Zhang C, Liu F, Qin B. Bibliometric and visual analyses of trends in the field of T cell exhaustion research: Findings from 2000 to 2022. International Journal of Immunopathology and Pharmacology 2023;37 View
12. Xie J, Zhong W, Yang R, Wang L, Zhen X. Discriminative fusion of moments-aligned latent representation of multimodality medical data. Physics in Medicine & Biology 2024;69(1):015015 View
13. Liu C, Li X, Imdad L, Xu S, Li J, Ren X. Mapping the current trends of autophagy in retinal diseases: A bibliometric analysis. Heliyon 2024;10(11):e32050 View
14. Laouarem A, Kara-Mohamed C, Bourennane E, Hamdi-Cherif A. HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images. Computers in Biology and Medicine 2024;178:108726 View
15. Khan U, Khan S. Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on OCT. Multimedia Tools and Applications 2024 View
16. Meng F, Cui Z, Guo H, Zhang Y, Gu Z, Wang Z. Global research on wearable technology applications in healthcare: A data-driven bibliometric analysis. DIGITAL HEALTH 2024;10 View
17. Wu T, Duan Y, Zhang T, Tian W, Liu H, Deng Y. Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study. Frontiers in Bioscience-Landmark 2022;27(9) View