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

Matveeva, Irina A.

  • Department of Laser and Biotechnical Systems, assistant Lecturer
  • Institute of Further Education, specialist
2024
  • 1 Pimenova I.A., Matveeva I.A. Identification of Blood Serum Compound by Decomposition of Raman Spectra by Multivariate Curve Resolution Method // 2024 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex, TIRVED 2024 - Conference Proceedings. — 2024. —
  • 2 Matveeva I.A., Komlev A.I., Kaganov O.I. etc. Multidimensional Analysis of Dermoscopic Images and Spectral Information for the Diagnosis of Skin Tumors // Journal of Biomedical Photonics and Engineering 2024. — Vol. 10. Issue 1. № 1.
  • 3 Pimenova I.A., Bratchenko L.A., Matveeva I.A. Analysis of Raman Spectra of Blood Serum by Multivariate Curve Resolution Method // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
  • 4 Tomnikova K.E., Matveeva I.A. Machine Learning Methods for Classifying Raman Scattering Spectra of the Skin // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
  • 5 Artemyev D.N., Bratchenko L.A., Matveeva I.A. etc. Differential Rapid Diagnosis of Endometrial Cancer and Its Benign Pathological Conditions Using Surface-Enhanced Raman Spectroscopy // Journal of Biomedical Photonics and Engineering 2024. — Vol. 10. Issue 2. № 2.
  • 6 Tomnikova K.E., Matveeva I. Application of Multivariate Curve Resolution analysis and Multilayer Perceptron for Classification of Raman Spectra of the Skin // 2024 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex, TIRVED 2024 - Conference Proceedings. — 2024. —
2023
  • 1 Grechkin B.V., Vinokurov V.O., Khristoforova Y.A. etc. VGG Convolutional Neural Network Classification of Hyperspectral Images of Skin Neoplasms // Journal of Biomedical Photonics and Engineering 2023. — Vol. 9. Issue 4. № 4.
  • 2 Hou J., Shi H., Gao W. etc. The preliminary study of diabetic retinopathy detection based on intensity parameters with optical coherence tomography angiography // Computer Optics 2023. — Vol. 47. Issue 4. № 4. — P. 620-626
  • 3 Tomnikova Kseniya Evgenevna, Matveeva I.A., Khristoforova Yu.A. MCR-анализ рамановских спектров кожи пациентов с хронической сердечной недостаточностью // IX Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2023). — 2023. — Vol. 6.
2022
  • 1 Bashirov V.S., Matveeva Irina Aleksandrovna Module for registration of human biomechanical parameters with a harvester of electricity // Международный научный форум «Технические средства систем управления и связи». — 2022. — P. 67-69
  • 2 Deryugina V.A., Matveeva I.A., Bratchenko I.A. Neural network classification of dermatological images // INTERNATIONAL SCIENTIFIC FORUM ON CONTROL AND ENGINEERING. — 2022. — P. 39-41
  • 3 Matveeva I.A., Bratchenko I., Khristoforova Y. etc. Multivariate Curve Resolution Alternating Least Squares Analysis of In Vivo Skin Raman Spectra // Sensors (Basel, Switzerland) 2022. — Vol. 22. Issue 24. № 24.
  • 4 Matveeva I.A., Khristoforova Y.A., Bratchenko L.A. etc. Analysis of Raman spectra using the multivariate curve resolution-alternating least squares (MCR-ALS) algorithm // Proceedings of SPIE - The International Society for Optical Engineering. — 2022. — Vol. 12144.
2021
  • 1 Vinokurov V. O. , Matveeva I.A., Khristoforova Y.A. etc. Neural network classifier of hyperspectral images of skin pathologies // Computer Optics 2021. — Vol. 45. Issue 6. — P. 879-886
  • 2 Vinokurov V.O., Matveeva I.A., Khristoforova Yu.A. etc. Нейросетевой классификатор гиперспектральных снимков кожных патологий // Computer Optics 2021. — Vol. 45. № 6. — P. 879-886
  • 3 Matveeva I., Khristoforova Y., Moryatov A. etc. Classification of human skin Raman spectra using multivariate curve resolution (MCR) and partial least squares discriminant analysis (PLS-DA) // OMFI-2021. — 2021. — Vol. 2127. Issue 1.
  • 4 Matveeva I.A., Bratchenko L.A., Myakinin O. O. etc. The effect of noise in raman spectra on the reconstruction of the concentration of amino acids in the mixture by multivariate curve resolution (MCR) analysis // Journal of Biomedical Photonics and Engineering 2021. — Vol. 7. Issue 2.
2020
  • 1 Matveeva I.A., Myakinin O. O. , Khristoforova Y.A. etc. Additive simulation of Raman light scattering from skin cancer using the Monte Carlo method // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11363.
  • 2 Matveeva I.A., Myakinin O. O. , Khristoforova Y.A. etc. Possibilities for decomposing Raman spectra of amino acids mixture by Multivariate Curve Resolution (MCR) analysis // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11582.
  • 3 Matveeva Irina Aleksandrovna, Myakinin O.O., Khristoforova Yu.A. Monte Carlo simulation of Raman light scattering in a human skin // VI Международная конференция и молодежная школа "Информационные технологии и нанотехнологии" (ИТНТ-2020). — 2020. — Vol. 3. — P. 453-459
  • 4 Matveeva I., Myakinin O. O. , Khristoforova Y. etc. Monte Carlo simulation of Raman light scattering and Multivariate Curve Resolution - Alternating Least Squares for determination of changes in skin tissue during the development of malignant neoplasms // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
  • 5 Matveeva I.A., Myakinin O. O. , Vinokurov V. O. etc. Additive approach to simulation of malignant neoplasms using the monte carlo method // Journal of Biomedical Photonics and Engineering 2020. — Vol. 6. Issue 3.
2019
  • 1 Matveeva I., Myakinin O. O. Monte Carlo modelling of normal skin and skin cancer Raman spectra // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 4.
  • 2 Matveeva I.A., Myakinin O.O. Monte Carlo modelling of Raman scattering in a multi-layered tissue // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Vol. 3. — P. 227-230