Demin, Nikita S.

2025

• 1 Demin N.S., Ilyasova N.Y., Zamytskiy E.A. etc. Development of an OCT image analysis algorithm for differential diagnosis of retinal edema based on deep learning // Computer Optics 2025. — Vol. 49. Issue 2. № 2. — P. 292-300
• 2 Ilyasova N., Tadzhitdinov K.Sh., Demin N. etc. Algorithm for Evaluating the Geometric Features of Vertebral Bodies Using Computed Tomography Data for the Diagnosis of Osteoporosis // Lecture Notes in Computer Science. — 2025. — Vol. 15616 LNCS. — P. 226-234
• 3 Ilyasova N., Selezneva A.A., Demin N. etc. Algorithm for Evaluating Morphological Features of Magnetic Resonance Images of Primary Extra-Axial Brain Tumors for Their Differential Diagnosis // Lecture Notes in Computer Science. — 2025. — Vol. 15616 LNCS. — P. 216-225
• 4 Ilyasova N., Demin N., Tadzhitdinov K.Sh. etc. Information Technology for Evaluating Changes of the Structure of Vertebral Bodies Using Computed Tomography Data to Determine the Degree of Vertebral Deformity in Patients with Osteoporosis // Lecture Notes in Computer Science. — 2025. — Vol. 15616 LNCS. — P. 235-243
• 5 Ilyasova N.Y., Samigullin R.T., Kirsh D.V. etc. Development of technology for choroidal state assessment based on pre-processing and quantitative analysis of void images from angio-OCT data // Computer Optics 2025. — Vol. 49. Issue 5. № 5. — P. 767-774
• 6 Dotsenko K.R., Zolotarev A.V., Karlova E.V. etc. Nanosecond retinal laser therapy: three years of practical experience; Nanosekundnaya lazernaya terapiya setchatki: opyt trekhletnego prakticheskogo primeneniya // Vestnik Oftalmologii 2025. — Vol. 141. Issue 4. № 4. — P. 60-65
• 7 Ilyasova N.Yu., Gulinskaya I.I., Demin N.S. etc. Technology of Localization Pathological Accumulation Foci of Radiopharmaceutical Based on Deep Learning Methods // Proceedings of the 2025 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2025. — 2025. — P. 261-264
• 8 Selezneva A.A., Ilyasova N.Y., Demin N.S. etc. Growth Prediction of Primary Extra-Axial Brain Tumors of Magnetic Resonance Images Based on Deep Learning // Proceedings of the 2025 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2025. — 2025. — P. 234-237
• 9 Ionov A.Yu., Ilyasova N.Y., Demin N.S. etc. Algorithm for Automatic Determination of Indications for 2RT-Laser Treatment Based on Optical Coherence Tomography Images // Proceedings of the 2025 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2025. — 2025. — P. 265-268
• 10 Nekrasova D.V., Ilyasova N.Yu., Zarov E.V. etc. Comparison of Neural Network and Hybrid Approaches in Analyzing Spine Radiographs of Osteoporosis Diagnosis // Proceedings of the 2025 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2025. — 2025. — P. 250-253

2024

• 1 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. —
• 2 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
• 3 Ilyasova N.Yu., Demin N.S., Kuricyn 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.
• 4 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.
• 5 Demin N.S., Ilyasova N.Yu., Samigullin Ravil Tagirovich Метод выделения области хориоидеи и ее количественного анализа на изображениях оптической когерентной томографии для диагностики заболеваний глаза // Известия РАН. Теория и системы управления 2024. — № 3. — P. 150-156
• 6 Lyakin M.Y., Ilyasova N.Y., Alekhin E.N. etc. Identification of Osteoporotic Changes of Vertebral Bodies on Computed Tomography Images Based on the Analysis of Groups of Textural Features // Optical Memory and Neural Networks (Information Optics) 2024. — Vol. 33. Issue Suppl 1. № Suppl 1. — P. S209-S216
• 7 Ionov A.Y., Ilyasova N.Y., Demin N.S. etc. Differential Diagnosis of Retinal Edema Based on OCT Image Analysis // Optical Memory and Neural Networks (Information Optics) 2024. — Vol. 33. Issue Suppl 2. № Suppl 2. — P. S295-S304
• 8 Ionov A.Y., Ilyasova N.Y., Demin N.S. etc. Technology of Automatic Determination of Indications for 2RT-Laser Treatment of AMD from SD-OCT Images Based on Artificial Intelligence Methods // Optical Memory and Neural Networks (Information Optics) 2024. — Vol. 33. Issue Suppl 2. № Suppl 2. — P. S277-S284
• 9 Ilyasova Natalya Yurevna, Demin N.S., Kirsh D.V. Технология выделения и определения подтипов друз на данных ост для диагностики возрастной макулярной дегенерации // Computer Optics 2024. — Vol. 48. № 6. — P. 903-912
• 10 Natalya Yurievna Ilyasova, Demin N.S., Tadzhitdinov K.Sh. etc. Technology of Morphometric Analysis of Vertebral Bodies in Patients with Osteoporosis Using Computed Tomography Images // Pattern Recognition and Image Analysis 2024. — Vol. 34. Issue 4. № 4. — P. 984-989
• 11 Natalya Yurievna Ilyasova, Tadzhitdinov K.Sh., Demin N.S. etc. Algorithm for Evaluation of Vertebral Body Deformity for Detection of Osteoporosis Using Computed Tomography Data // Pattern Recognition and Image Analysis 2024. — Vol. 34. Issue 4. № 4. — P. 995-999
• 12 Natalya Yurievna Ilyasova, Selezneva A.A., Demin N.S. etc. Algorithm for Morphological Analysis of Brain Magnetic Resonance Imaging Images in the Task of Differential Diagnosis of Primary Tumors // Pattern Recognition and Image Analysis 2024. — Vol. 34. Issue 4. № 4. — P. 990-994

2023

• 1 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
• 2 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
• 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.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.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
• 6 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
• 7 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

2022

• 1 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
• 2 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
• 3 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. —
• 4 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. —
• 5 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
• 6 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

2021

• 1 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. —
• 2 Demin N., Ilyasova N., Gaidel A. 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. —
• 3 Shirokanev A., 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.
• 4 Ilyasova N., Shirokanev A., 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
• 5 Ilyasova N., Shirokanev A., 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.
• 6 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.
• 7 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.
• 8 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
• 9 Fida A.D., Gaidel 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

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., 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
• 4 Ilyasova N., Demin N., Shirokanev A. 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., 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

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.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.
• 3 Ilyasova N., Shirokanev A., 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

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