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

Shirokanev, Alexandr S.

  • Department of Technical Cybernetics, assistant Lecturer
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
2021
  • 1 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
  • 2 Shirokanev A.S., Ilyasova N.Y. Intelligent System for Coagulates Preliminary Plan Analysis for Assessment of the Diabetic Retinopathy Treatment Effectiveness // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. — 2021. — P. 1825-1828
  • 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., 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.
  • 5 Shirokanev A., Ilyasova N., Andriyanov N. etc. Modeling of fundus laser exposure for estimating safe laser coagulation parameters in the treatment of diabetic retinopathy // MATHEMATICS 2021. — Vol. 9. Issue 9.
  • 6 Zamytskiy E.A., Zolotarev A.V., Karlova E.V. etc. Comparative quantitative assessment of the placement and intensity of laser spots for treating diabetic macular edema // Russian Journal of Clinical Ophthalmology 2021. — Vol. 21. Issue 2. — P. 58-62
  • 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 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.
  • 9 Shirokanev A.S., Andriyanov N.A., Ilyasova N.Y. Development of vector algorithm using cuda technology for three-dimensional retinal laser coagulation process modeling // Computer Optics 2021. — Vol. 45. Issue 3. — P. 427-437
  • 10 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 Shirokanev A.S., Kibitkina A. S. , Ilyasova N.Y. etc. Methods of mathematical modeling of fundus laser exposure for therapeutic effect evaluation // Computer Optics 2020. — Vol. 44. Issue 5. — P. 809-822
  • 2 Shirokanev A., Degtyaryov A., Kibitkina A. S. etc. Development of Information Technology for Selection of Effective Strategy of Diabetic Retinopathy Treatment // Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology. — 2020. — P. 94-98
  • 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 Raku A. V. , Shirokanev A., Degtyarev A. etc. Study of thermal field of the retina of the human eye in the laser exposure zone during numerical simulation based on the solution of the heat equation in the layered region // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
  • 5 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. —
  • 6 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.
  • 7 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.
  • 8 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
  • 9 Ilyasova N.Y., Shirokanev A.S., Klimov I. etc. Convolutional Neural Network Application for Analysis of Fundus Images // Advances in Intelligent Systems and Computing. — 2020. — Vol. 1156 AISC. — P. 60-67
2019
  • 1 Ilyasova N., Shirokanev A., Paringer R. etc. Biomedical data analysis based on parallel programming technology application for computation features' effectiveness // 2019 5th International Conference on Frontiers of Signal Processing, ICFSP 2019. — 2019. — P. 67-71
  • 2 Ilyasova N.Y., Shirokanev A.S., Klimov I. A. Application of convolution neural networks in eye fundus image analysis // CEUR Workshop Proceedings. — 2019. — Vol. 2416. — P. 74-79
  • 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
  • 4 Kirsh D.V., Shirokanev A.S., Kupriyanov A.V. Algorithm of reconstruction of a three-dimensional crystal structure from twodimensional projections // Computer Optics 2019. — Vol. 43. Issue 2. — P. 324-331
  • 5 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.
  • 6 Ilyasova N.Y., Shirokanev A.S., Kupriyanov A.V. etc. Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina // Computer Optics 2019. — Vol. 43. Issue 2. — P. 304-315
  • 7 Shirokanev A.S., Kirsh D.V., Kupriyanov A.V. The study of effectiveness of a high-performance crystal lattice parametric identification algorithm based on CUDA technology // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
  • 8 Ilyasova N.Y., Shikhevich V. A. , Shirokanev A.S. CUDA parallel programming technology application for analysis of big biomedical data based on computation of effectiveness features // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
2018
  • 1 Shirokanev A.S., Kirsh D.V., Ilyasova N.Y. etc. Investigation of algorithms for coagulate arrangement in fundus images // Computer Optics 2018. — Vol. 42. Issue 4. — P. 712-721
  • 2 Ilyasova N.Y., Shirokanev A.S., Kupriyanov A.V. etc. Methods of Intellectual Analysis in Medical Diagnostic Tasks Using Smart Feature Selection // Pattern Recognition and Image Analysis 2018. — Vol. 28. Issue 4. — P. 637-645
  • 3 Ilyasova N.Yu., Shirokanev A.S., Paringer R.A. etc. A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
2017
  • 1 Shirokanev A., Kirsh D., Kupriyanov A. Development of a vector algorithm of three-dimensional crystal lattice parametric identification based on estimation of the spacing between adjacent lattice planes // Procedia Engineering. — 2017. — Vol. 201. — P. 690-697
  • 2 Ilyasova N., Paringer R., Shirokanev A. etc. A smart feature selection technique for object localization in ocular fundus images with the aid of color subspaces // Procedia Engineering. — 2017. — Vol. 201. — P. 736-745
  • 3 Ilyasova N., Shirokanev A., Kirsh D. etc. Development of coagulate map formation algorithms to carry out treatment by laser coagulation // Procedia Engineering. — 2017. — Vol. 201. — P. 271-279
  • 4 Shirokanev A., Kirsh D., Kupriyanov A. Development of crystal lattice comparison method invariant to bravais unit cell choice // 2017 3rd International Conference on Frontiers of Signal Processing, ICFSP 2017. — 2017. — P. 125-129
  • 5 Shirokanev A.S., Kirsh D.V., Kupriyanov A.V. Research of an algorithm for crystal lattice parameter identification based on the gradient steepest descent method // Computer Optics 2017. — Vol. 41. Issue 3. — P. 453-460
  • 6 Ilyasova N., Kirsh D., Paringer R. etc. Coagulate map formation algorithms for laser eye treatment // 2017 3rd International Conference on Frontiers of Signal Processing, ICFSP 2017. — 2017. — P. 120-124
2016
  • 1 Shirokanev A.S., Kirsh D.V., Kupriyanov A.V. Application of gradient steepest descent method to the problem of crystal lattice parametric identification // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 393-400
2015
  • 1 Shirokanev A.S., Kirsh D.V., Kupriyanov A.V. Researching methods of reconstruction of three-dimensional crystal lattice from images of projections // CEUR Workshop Proceedings. — 2015. — Vol. 1490. — P. 290-297