Personalities of MEPhI
NRNU MEPhI National Research Nuclear University MEPhI
  1. Faculty and Staff
  2. Nikitaev V.G.
Nikitaev V.G.

Nikitaev Valentin G.

Degree: Doctor of Sciences in Technology

Head of Department

Department of Medical Computer Systems
Send message Autumn 2024. Schedule
Works at MEPhI since 1973
Work Experience: 50 years

Courses

1. Designing the high-tech hardware and software systems for medical diagnostics
2. Image Processing Systems in Medicine
3. Introduction to the Profession
4. Pattern Recognition
5. Pedagogical practice
6. Telemedicine: Methods and Tools
7. The Design of Medical Computer Systems: Problems and Solutions

Publication activity

4
h-index (Web of Science)
9
h-index (Scopus)
14
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    An artificial intelligence model for the semantic segmentation of neoplasms on images of the skin // Biomedical Engineering, 2024 Q3 doi
  2. Article
    Web of Science & Scopus
    Semantic Segmentation of Skin Neoplasms: The Way to an Accurate Diagnosis // Proceedings of the 2023 International Conference on Systems and Technologies of the Digital HealthCare, STDH 2023, 2023 TOP10 pp. 209-210 doi
  3. Article
    Web of Science & Scopus
    Characteristics of the Structural Elements of the Lines in the Melanoma Recognition System // Physics of Atomic Nuclei, 2022 Vol. 85, No. 10, Q4 pp. 1789-1792 doi
  4. Article
    Web of Science & Scopus
    Image Segmentation of Skin Neoplasms Using the Active Contour Method // Physics of Atomic Nuclei, 2022 Vol. 85, No. 11, Q4 pp. 1956-1960 doi
  5. Article
    Web of Science & Scopus
    Model for Estimating the Morphological Characteristics of Structureless Areas of Pigmented Skin Neoplasms // Physics of Atomic Nuclei, 2022 Vol. 85, No. 11, Q4 pp. 1943-1947 doi
  6. Article
    Web of Science & Scopus
    Model for Assessing the Asymmetry of a Pigmented Neoplasm // Physics of Atomic Nuclei, 2022 Vol. 85, No. 11, Q4 pp. 1951-1955 doi
  7. Article
    Web of Science & Scopus
    Investigation of Textural Features for the Problems of Bone Marrow Cell Recognition in Information-Measuring Systems of Oncohematology // Measurement Techniques, 2022 Q4 doi
  8. Article
    Web of Science & Scopus
    A Model for Recognizing Structureless Hyperpigmented Areas in Dermato-Oncology // Biomedical Engineering, 2022 Vol. 55, No. 5, Q3 pp. 346-349 doi
  9. Article
    Web of Science & Scopus
    The Use of Laser Flow Cytometry and Light Microscopy for Assessing the Effect of Treatment of Acute Megakaryoblastic Leukemia // Biomedical Engineering, 2022 Q3 doi
  10. Article
    Web of Science & Scopus
    Model for Detecting Globules in Images of Skin Neoplasms // Mathematical Models and Computer Simulations, 2022 Vol. 14, No. 3, Q3 pp. 411-418 doi
  11. Article
    Web of Science & Scopus
    A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms // Biomedical Engineering, 2021 Vol. 55, No. 2, Q3 pp. 112-115 doi
  12. Article
    Web of Science & Scopus
    Nevus spitz: A review of the literature and clinical cases from practice // Klinicheskaya Dermatologiya i Venerologiya, 2021 Vol. 20, No. 2, Q4 pp. 50-58 doi
  13. Article
    Web of Science & Scopus
    Detection of Influenza Virus Using a SOI-Nanoribbon Chip, Based on an N-Type Field-Effect Transistor // Biosensors, 2021 Vol. 11, No. 4, Q2 doi
  14. Article
    Web of Science & Scopus
    Detection and monitoring of minimal residual disease in acute megakaryoblastic leukemia in children // Journal of Modern Oncology, 2021 Vol. 23, No. 1, Q4 pp. 148-155 doi
  15. Article
    Web of Science & Scopus
    Algorithm for the Analysis of Pigment Network Characteristics in Diagnosing Melanoma // Mathematical Models and Computer Simulations, 2021 Vol. 13, No. 5, Q3 pp. 861-869 doi
  16. Article
    Web of Science & Scopus
    Detection of Circles as Structural Elements in Dermatoscopic Images of Skin Neoplasms in the Diagnosis of Melanoma // Biomedical Engineering, 2021 Q3 doi
  17. Article
    Web of Science & Scopus
    Application of atomic force microscopy in biology and medicine // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  18. Article
    Web of Science & Scopus
    Integrated information and measurement system for the diagnosis of acute leukemia and minimal residual disease based on computer microscopy, flow laser cytofluorimetry and artificial intelligence // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  19. Article
    Web of Science & Scopus
    Classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  20. Article
    Web of Science & Scopus
    ANALYSIS OF BIOLOGICAL OBJECTS BY DIGITAL OPTICAL MICROSCOPY USING NEURAL NETWORKS // Bulletin of the Lebedev Physics Institute, 2021 Vol. 48, No. 10, Q4 pp. 332-336 doi
  21. Article
    Web of Science & Scopus
    Model of a Decision-Making System for the Diagnosis of Melanoma Using Artificial Intelligence // Biomedical Engineering, 2021 Vol. 55, No. 3, Q3 pp. 215-218 doi
  22. Article
    Web of Science & Scopus
    Artificial Intelligence Technologies in the Diagnosis of Acute Lymphoblastic Leukemia and Minimal Residual Disease // Biomedical Engineering, 2021 Q3 doi
  23. Article
    Web of Science & Scopus
    Color recognition of dermatoscopic images of skin neoplasms // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  24. Article
    Web of Science & Scopus
    SPITZ nevus (juvenile melanoma) in the pediatricians practice: Clinical picture, diagnosis, prognosis and treatment // Pediatriya - Zhurnal im G.N. Speranskogo, 2021 Vol. 100, No. 1, Q4 pp. 166-172 doi
  25. Article
    Web of Science & Scopus
    A Model for Detecting Structural Elements – Lines – in Digital Images in Oncodermatology // Measurement Techniques, 2021 Q4 doi
  26. Article
    Web of Science & Scopus
    Model for Estimating the Heterogeneity of the Distribution of Globule Characteristics in Images of Skin Neoplasms // Measurement Techniques, 2021 Q4 doi
  27. Article MODEL OF A DECISION-MAKING SYSTEM FOR THE DIAGNOSIS OF MELANOMA USING ARTIFICIAL INTELLIGENCE // 2021
  28. Article A MODEL FOR RECOGNITION OF DERMATOSCOPIC POINTS IN IMAGES OF SKIN NEOPLASMS // 2021
  29. Article ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE DIAGNOSIS OF ACUTE LYMPHOBLASTIC LEUKEMIA AND MINIMAL RESIDUAL DISEASE // 2021

Showing conferences for last 3 years

Conferences not found

Повышение квалификации

October 28, 2019 — October 30, 2019 Engineering and physical technologies of Biomedicine (in English) (18 hours) NRU MEPhI, Moscow

Grants

May 2019 — Dec 2021 Methods and models of digital image processing of skin neoplasms using artificial intelligence technologies for the diagnosis of melanoma Russian Science Foundation (RGNF)
Sep 2018 — Feb 2022 Methods and models of artificial intelligence for solving interdisciplinary fundamental problems of diagnosis of lymphoproliferative diseases and minimal residual disease in oncology. Russian Foundation for Basic Research (RFBR)

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