Demin, Nikita S.

2024

• 1 Ilyasova N.Yu., Samigullin R.T., Demin N.S. Development of a Method of Feature Space Formation for Assessment of Choroidea Condition from Retinal Angio-OCT Images // Journal of Biomedical Photonics and Engineering 2024. — Vol. 10. Issue 3. № 3.
• 2 Ilyasova N.Yu., Demin N.S., Kuritsyn N.S. Recognition of Drusen Subtypes on OCT Data for the Diagnosis of Age-Related Macular Degeneration // Journal of Biomedical Photonics and Engineering 2024. — Vol. 10. Issue 3. № 3.
• 3 Demin N.S., Ilyasova N.Y., Samigullin R.T. Method of Extracting The Choroidal Area and Its Quantitative Analysis on Optical Coherence Tomography Images for the Diagnostics of Eye Diseases // Journal of Computer and Systems Sciences International 2024. — Vol. 63. Issue 3. № 3. — P. 503-509
• 4 Ilyasova N., Doruzhinskiy D.V., Demin N. Research of the Active Contour Method for Diagnostic Analysis of Regions of Interest in Optical Coherence Tomography Images of Retinal Layers // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —

2023

• 1 Lyakin M., Ilyasova N., Demin N. Identification of the Ground-Glass Opacity on Computed Tomography Images of the Lungs Based on the Analysis of Groups of Textural Features // Proceedings of the 2023 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2023. — 2023. — P. 69-72
• 2 Ilyasova N.Y., Sergeyev V.V., Demin N.S. Scientific School of Academician V.A. Soifer in the Field of Processing, Analysis, and Recognition of Images and Optical Signals // Pattern Recognition and Image Analysis 2023. — Vol. 33. Issue 4. № 4. — P. 1080-1103
• 3 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
• 4 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.
• 5 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.
• 6 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
• 7 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 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.
• 2 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.
• 3 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.
• 4 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. —
• 5 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. —
• 6 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.
• 7 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
• 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., 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

2020

• 1 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.
• 2 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.
• 3 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
• 4 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. —
• 5 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

2019

• 1 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.
• 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 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. —

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