федеральное государственное автономное образовательное учреждение высшего образования
«Самарский национальный исследовательский университет имени академика С.П. Королева»

Demin, Nikita S.

  • Department of Technical Cybernetics, assistant Lecturer
2023
  • 1 Ilyasova N.Y., Demin N.S. Systems for Recognition and Intelligent Analysis of Biomedical Images // Pattern Recognition and Image Analysis 2023. — Vol. 33. Issue 4. № 4. — P. 1142-1167
  • 2 Demin N.S., Ilyasova N.Yu., Paringer R.A. Automatic Selection of the Optimal Zone for Laser Exposure According to the Fundus Images for Laser Coagulation // Journal of Biomedical Photonics and Engineering 2023. — Vol. 9. Issue 4. № 4.
  • 3 Ilyasova N.Yu., Demin N.S., Surovcev E.N. etc. Possibilities of MRI Texture Analysis of Brain Images in Differential Diagnosis of Primary Extra-Axial Tumors // Journal of Biomedical Photonics and Engineering 2023. — Vol. 9. Issue 4. № 4.
  • 4 Demin N.S., Ilyasova N.Y., Paringer R.A. etc. Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 824-831
  • 5 Ilyasova N., Demin N. Application of Artificial Intelligence in Ophthalmology for Coagulate Map Formation to Carry Out Laser Eye Treatment // Lecture Notes in Computer Science. — 2023. — Vol. 13644 LNCS. — P. 387-402
2022
  • 1 Ilyasova N.Y., Paringer R.A., Shirokanev A. S. etc. An Approach to Semantic Segmentation of Retinal Images Using Deep Neural Networks for Mapping Laser Exposure Zones for the Treatment of Diabetic Macular Edema // Lecture Notes in Networks and Systems. — 2022. — Vol. 330 LNNS. — P. 106-116
  • 2 Paringer R.A., Mukhin A.V., Ilyasova N.Y. etc. Neural network application for semantic segmentation of fundus // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 596-602
  • 3 Ilyasova N.Yu., Kirsh D.V., Demin N.S. Decision-making support system for the personalization of retinal laser treatment in diabetic retinopathy // Computer Optics 2022. — Vol. 46. Issue 5. № 5. — P. 774-782
  • 4 Ilyasova N.Y., Demin N.S. Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases // Pattern Recognition and Image Analysis 2022. — Vol. 32. Issue 3. № 3. — P. 477-482
  • 5 Mashkov D.V., Ilyasova N., Demin N. Investigation of segmentation methods for highlighting areas of interests on lung X-rays // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
  • 6 Demin N., Ilyasova N. Semantic segmentation of lung radiographs using U-net type neural network // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
2021
  • 1 Ilyasova N., Shirokanev A. S. , Demin N. etc. High-Performance Algorithms Application for Retinal Image Segmentation Based on Texture Features // Lecture Notes in Computer Science. — 2021. — Vol. 12665 LNCS. — P. 198-210
  • 2 Ilyasova N.Y., Demin N.S., Shirokanev A. S. Application of distributed computation of texture features to the analysis of biomedical images // Proceedings of SPIE - The International Society for Optical Engineering. — 2021. — Vol. 11793.
  • 3 Demin N., Ilyasova N., Gaydel A. V. Information technology for estimation accuracy of selection macular edema region in fundus images using OCT data // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
  • 4 Shirokanev A. S. , Ilyasova N., Demin N. etc. Extracting a DME area based on graph-based image segmentation and collation of OCT retinal images // Journal of Physics: Conference Series. — 2021. — Vol. 1780. Issue 1.
  • 5 Demin N., Ilyasova N., Golovin A. Retinal Layers Segmentation Technology for Optical Coherence Tomography Images // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
  • 6 Ilyasova N., Shirokanev A. S. , Kirsh D. etc. Identification of prognostic factors and predicting the therapeutic effect of laser photocoagulation for dme treatment // Electronics (Switzerland) 2021. — Vol. 10. Issue 12.
  • 7 Shirokanev A. S. , Ilyasova N.Y., Andriyanov N.A. etc. OCT image processing system for numerical simulation of fundus temperature distribution // Proceedings of SPIE - The International Society for Optical Engineering. — 2021. — Vol. 11793.
  • 8 Fida A.D., Gaydel A.V., Demin N.S. etc. Automated combination of optical coherence tomography images and fundus images // Computer Optics 2021. — Vol. 45. Issue 5. — P. 721-727
  • 9 Ilyasova N.Y., Shirokanev A. S. , Demin N.S. Development of High-Performance Algorithms for the Segmentation of Fundus Images Using a Graphics Processing Unit // Pattern Recognition and Image Analysis 2021. — Vol. 31. Issue 3. — P. 529-538
2020
  • 1 Ilyasova N.Y., Demin N.S., Shirokanev A. S. etc. Method for selection macular edema region using optical coherence tomography data // Computer Optics 2020. — Vol. 44. Issue 2. — P. 250-258
  • 2 Ilyasova N.Y., Shirokanev A. S. , Demin N.S. etc. Information Technology for Decision-making Support for Personalized Parameter Selection in Retinal Laser Treatment and Photocoagulation Outcome Prognostication // Optical Memory and Neural Networks (Information Optics) 2020. — Vol. 29. Issue 4. — P. 358-367
  • 3 Ilyasova N., Demin N., Shirokanev A. S. etc. Fundus Image Segmentation Using Decision Trees // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
  • 4 Ilyasova N.Yu., Shirokanev A. S. , Demin N.S. Segmentation of Lung Images Using Textural Features // Journal of Physics: Conference Series. — 2020. — Vol. 1438. Issue 1.
  • 5 Shirokanev A. S. , Ilyasova N.Yu., Demin N.S. Analysis of Convolutional Neural Network for Fundus Image Segmentation // Journal of Physics: Conference Series. — 2020. — Vol. 1438. Issue 1.
2019
  • 1 Shirokanev A.S., Ilyasova N.Yu., Demin N.S. Extracting a DME area based on graph-based image segmentation and collation of OCT retinal images // 2nd International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2019). — 2019. —
  • 2 Ilyasova N., Shirokanev A. S. , Demin N. etc. Graph-based segmentation for diabetic macular edema selection in OCT images // 2019 5th International Conference on Frontiers of Signal Processing, ICFSP 2019. — 2019. — P. 77-81
  • 3 Ilyasova N.Y., Shirokanev A. S. , Demin N.S. etc. Localization of diabetic macular edema areas via graph-based segmentation of OCT retinal images // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
2017
  • 1 Ustinov A.V., Ilyasova N.Yu., Demin N.S. An algorithm for correcting X-ray image distortions caused by central projection // CEUR Workshop Proceedings. — 2017. — Vol. 1900. — P. 10-15