Ministry of Health of Russian Federation

Moscow, Moscow Oblast, Russia

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research-article
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology
- S. Illarionova
  National Medical Research Center of Oncology named after N.N. Blokhin of Ministry of Health of the Russian Federation, Moscow, 115522, Russia
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  ,
- R. Hamoudi
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, 27272, United Arab Emirates
  Centre of Excellence for Precision Medicine, Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, 27272, United Arab Emirates
  Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arab Emirates
  Division of Surgery and Interventional Science, University College London, London, NW3 2PS, United Kingdom
  ,
- M. Zapevalina
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  ,
- I. Fedin
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  ,
- N. Alsahanova
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  ,
- A. Bernstein
  National Medical Research Center of Oncology named after N.N. Blokhin of Ministry of Health of the Russian Federation, Moscow, 115522, Russia
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  ,
- E. Burnaev
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  Autonomous Non-Profit Organization Artificial Intelligence Research Institute (AIRI), Moscow, 105064, Russia
  ,
- V. Alferova
  Pirogov Russian National Research Medical University, Moscow, 117513, Russia
  ,
- E. Khrameeva
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  ,
- D. Shadrin
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  ,
- I. Talaat
  Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, 27272, United Arab Emirates
  Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arab Emirates
  Pathology Department, Faculty of Medicine, Alexandria University, Alexandria, 21131, Egypt
  ,
- A. Bouridane
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
  Center for Data Analytics and Cybersecurity, University of Sharjah, Sharjah, United Arab Emirates
  ,
- M. Sharaev
  National Medical Research Center of Oncology named after N.N. Blokhin of Ministry of Health of the Russian Federation, Moscow, 115522, Russia
  Skolkovo Institute of Science and Technology, Moscow, 121205, Russia
  BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory, University of Sharjah, Sharjah, United Arab Emirates
January 2025Information Sciences: an International Journal, Volume 686, Issue Chttps://doi.org/10.1016/j.ins.2024.121358
Article
A Promising Approach to Detect Early Signs of Disease in Old Age
- A. Bogdanov
  https://ror.org/023znxa73St. Petersburg University, Saint Petersburg, Russia
  ,
- N. Shchegoleva
  https://ror.org/023znxa73St. Petersburg University, Saint Petersburg, Russia
  ,
- N. Zalutskaya
  https://ror.org/01p8ehb87Federal State Budgetary Institution «Bekhterev National Medical Research Psychiatry and Neurology Center», Ministry of Health of the Russian Federation, St. Petersburg, Russia
July 2024Computational Science and Its Applications – ICCSA 2024 Workshopshttps://doi.org/10.1007/978-3-031-65308-7_25
research-article
On the Nonbinary Version of the Causality Relation in the Intelligent Analysis of Oncological Data
- M. I. Zabezhailo
  Federal Research Center “Computer Science and Control” Russian Academy of Sciences, Moscow, Russia
  ,
- M. A. Mikheyenkova
  Federal Research Center “Computer Science and Control” Russian Academy of Sciences, Moscow, Russia
  ,
- Yu. Yu. Trunin
  https://ror.org/01p8ehb87Burdenko National Medical Research Center of Neurosurgery, Ministry of Health of the Russian Federation, Moscow, Russia
June 2024Automatic Documentation and Mathematical Linguistics, Volume 58, Issue 3https://doi.org/10.3103/S0005105524700146
research-article
On the Reliability of Medical Diagnosis Based on Empirical Data
- M. I. Zabezhailo
  Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, Russia
  ,
- Y. Y. Trunin
  Burdenko National Medical Research Center of Neurosurgery (Ministry of Health of the Russian Federation), Moscow, Russia
December 2021Scientific and Technical Information Processing, Volume 48, Issue 5https://doi.org/10.3103/S0147688221050142
research-article
On the Importance of Empirical Contradiction for Reliability Estimation of Intelligent Data Analysis Results
- M. I. Zabezhailo
  Federal Research Center Computer Science and Control, Russian Academy of Sciences, 119333, Moscow, Russia
  ,
- Yu. Yu. Trunin
  Burdenko National Medical Research Center of Neurosurgery, Ministry of Health of the Russian Federation, 125047, Moscow, Russia
May 2021Automatic Documentation and Mathematical Linguistics, Volume 55, Issue 3https://doi.org/10.3103/S0005105521030092
research-article
An Intelligent System for Analyzing Oncological Data that Implements the JSM Method for Automated Research Support
- D. K. Chebanov
  OncoUnite Clinics LLC, 127276, Moscow, Russia
  ,
- I. N. Mikhailova
  Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, 115478, Moscow, Russia
May 2020Automatic Documentation and Mathematical Linguistics, Volume 54, Issue 3https://doi.org/10.3103/S0005105520030036

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Ministry of Health of Russian Federation

Ministry of Health of Russian Federation

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Institution’s Latest Publications

A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology

A Promising Approach to Detect Early Signs of Disease in Old Age

On the Nonbinary Version of the Causality Relation in the Intelligent Analysis of Oncological Data

On the Reliability of Medical Diagnosis Based on Empirical Data

On the Importance of Empirical Contradiction for Reliability Estimation of Intelligent Data Analysis Results

An Intelligent System for Analyzing Oncological Data that Implements the JSM Method for Automated Research Support

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