Ilyasova Nataly Yur'evna

Publications in Math-Net.Ru

1. Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images
   
   Computer Optics, 47:5 (2023),  824–831
2. Decision-making support system for the personalization of retinal laser treatment in diabetic retinopathy
   
   Computer Optics, 46:5 (2022),  774–782
3. Neural network application for semantic segmentation of fundus
   
   Computer Optics, 46:4 (2022),  596–602
4. Automated combination of optical coherence tomography images and fundus images
   
   Computer Optics, 45:5 (2021),  721–727
5. Development of vector algorithm using CUDA technology for three-dimensional retinal laser coagulation process modeling
   
   Computer Optics, 45:3 (2021),  427–437
6. Methods of mathematical modeling of fundus laser exposure for therapeutic effect evaluation
   
   Computer Optics, 44:5 (2020),  809–820
7. Method for selection macular edema region using optical coherence tomography data
   
   Computer Optics, 44:2 (2020),  250–258
8. Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina
   
   Computer Optics, 43:2 (2019),  304–315
9. Investigation of algorithms for coagulate arrangement in fundus images
   
   Computer Optics, 42:4 (2018),  712–721
10. Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea
    
    Computer Optics, 42:1 (2018),  159–166
11. Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods
    
    Computer Optics, 38:4 (2014),  851–855
12. Estimating the geometric features of a 3D vascular structure
    
    Computer Optics, 38:3 (2014),  529–538


13. Methods for digital analysis of human vascular system. Literature review
    
    Computer Optics, 37:4 (2013),  511–535