Courses and seminars
Courses and seminars organized by the laboratory are available in Russian.
Research projects
Headed by laboratory staff
- Value-added analysis of histological images using artificial intelligence (03.2022 – 12.2024)
Russian Science Foundation grant (РНФ 22-41-02002)
Development of new methods for processing and analysis of whole slide histological images using deep learning.
The work of the scientific group is carried out in collaboration with the Indian team.
- Development of a software tool for visualization of digitized whole slide histological images for use in teaching the course of pathological anatomy at the Faculty of Fundamental Medicine of Lomonosov Moscow State University (04.2022 – 12.2012)
01/03-2022/ГИСТ_МГУ
Improving the efficiency of teaching the course of pathological anatomy at the Faculty of Fundamental Medicine of Lomonosov Moscow State University through the development and implementation of the software “PathScribe. Education" for visualization and viewing of full-slide histological images.
- Generative augmentation methods for neural network analysis of histological images (01.2022 – 12.2023)
Russian Science Foundation grant (РНФ 22-21-00081)
- Methods for joint segmentation and registration of microscopy images (01.2022 – 12.2023)
Russian Science Foundation grant (РНФ 22-21-00125)
- Hybrid methods for radiological medical image analysis and pathological grading prediction (10.2019 – 12.2022)
Russian Foundation for Basic Research grant (РФФИ 19-57-80014 БРИКС_т)
Development of image processing and analysis methods for medical diagnostics using images of various modalities (MRI, CT and histological images). The problems considered: liver tumors (China), colorectal cancer (Russian Federation) and brain tumors (Brazil).
- Development of methods for processing biomedical images to analyze cell structures (05.2017 &ndsh; 12.2019)
Russian Science Foundation grant (РНФ 17-11-01279)
Development of mathematical methods for analysis of static 2D and 3D cell images and series of living cells.
- Multi-frame image super-resolution (10.2016 – 05.2018)
Commercial project with Huawei Moscow (ООО «Техкомпания Хуавей», YBN2016090117)
Development of fast and robust multi-frame super-resolution algorithms for use in smartphones.
- A method of finding ridges in images (01.2016 – 12.2018)
Russian Foundation for Basic Research grant (РФФИ 16-07-01207 А)
Development of new multiscale ridge detection algorithms and their application for solving practical problems in image processing and analysis.
- Computer methods of three-dimensional analysis of the retina based on confocal biomicroscopy (07.2015 – 08.2018)
Russian Foundation for Basic Research grant (РФФИ 15-29-03896 офи_м)
Development of image enhancement algorithms for three-dimensional microscopy retinal images.
- Mathematical methods of medical image preprocessing and enhancement (06.2014 – 12.2016)
Russian Science Foundation grant (РНФ 14-11-00308)
Development of novel methods for medical image preprocessing and enhancement based on the combination of regularizing methods and adaptive pixel grid warping.
- High performance algorithms (04.2014 – 12.2014)
Commercial project with Samsung R&D Institute Russia (ООО «Исследовательский Центр Самсунг», САМ14)
Development of image quality enhancement techniques for 4K/8K TV.
- Automatic computer image resolution enhancement (04.2013 – 12.2015)
Russian Foundation for Basic Research grant (РФФИ 13-07-00438-а)
Development of novel mathematical algorithms for image enhancement
- Noise suppression and linear and treelike feature detection typical for 2D and 3D medical images (04.2013 – 12.2015)
Russian Foundation for Basic Research grant (РФФИ 13-07-00584-а)
Development of multiscale ridge detection algorithms and their application for medical images
- Research and development of methods for automatic detection and suppression of ringing artifact for modern computer image processing technologies (09.2011 – 04.2013)
Federal Target Program "Research and development in priority areas of development of the scientific and technological complex of Russia for 2007–2013" (ФЦП 11.519.11.4014)
Development of algorithms for automatic image quality analysis evaluation and suppression of image artifacts. Joint project with Institute of VLSI design, Zhejiang University, China.
- Adaptive Methods of Image and Signal Processing and Analysis (2009 – 2011)
Federal Target Program "Scientific and scientific-pedagogical personnel of innovative Russia in 2009–2013" (# П2363)
- Non-linear image resampling and super-resolution methods (01.2010 – 12.2012)
Russian Foundation for Basic Research grant (РФФИ 10-01-00535-а)
Development of resolution enhancement algorithms and their application to practical problems.
- Regularization Methods and Adaptive Metrics for Image Enhancement (2009 – 2010)
Human Capital Foundation grant
- Color Images Enhancement and Primary Informational Feature Extraction (2009 – 2011)
Russian Foundation for Basic Research grant (РФФИ 09-07-92000-ННС_а)
- Russian Foundation for Basic Research projects 09-01-92470-МНКС_а (2009-2010) and 09-01-92474-МНКС_а (2009-2010)
- Federal Target Program "Scientific and scientific-pedagogical personnel of innovative Russia in 2009–2013" (2009–2011 and 2010–2012) projects 02.740.11.0196 and 14.740.11.0356.
Participation
- Spatiotemporal patterns of astrocytic calcium signaling in norm and pathology (10.2017 – 02.2021)
Russian Foundation for Basic Research grant (РФФИ 17-00-00407комфи)
Held by MSU Faculty of Biology
Development of theoretical foundation and practical methods for studying and understanding the role of network interactions in the astrocytic calcium signaling.
- Computer methods of three-dimensional analysis of the retina based on confocal biomicroscopy (07.2015 – 08.2018)
Russian Foundation for Basic Research grant (РФФИ 15-29-03896 офи_м)
Held by CMC MSU Chair of Mathematical Physical
Development of image enhancement algorithms for three-dimensional microscopy retinal images.
